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ORB.html 55 KB
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  104. <div class="subTitle">org.opencv.features2d</div>
    105. 

  105. <h2 title="Class ORB" class="title">Class ORB</h2>
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  109. <li>java.lang.Object</li>
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  112. <li><a href="../../../org/opencv/core/Algorithm.html" title="class in org.opencv.core">org.opencv.core.Algorithm</a></li>
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  114. <ul class="inheritance">
    115. 

  115. <li><a href="../../../org/opencv/features2d/Feature2D.html" title="class in org.opencv.features2d">org.opencv.features2d.Feature2D</a></li>
    116. 

  116. <li>
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  117. <ul class="inheritance">
    118. 

  118. <li>org.opencv.features2d.ORB</li>
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  131. <pre>public class <span class="typeNameLabel">ORB</span>
    132. 

  132. extends <a href="../../../org/opencv/features2d/Feature2D.html" title="class in org.opencv.features2d">Feature2D</a></pre>
    133. 

  133. <div class="block">Class implementing the ORB (*oriented BRIEF*) keypoint detector and descriptor extractor
    134. 

  134. 

  135.  described in CITE: RRKB11 . The algorithm uses FAST in pyramids to detect stable keypoints, selects
    136. 

  136.  the strongest features using FAST or Harris response, finds their orientation using first-order
    137. 

  137.  moments and computes the descriptors using BRIEF (where the coordinates of random point pairs (or
    138. 

  138.  k-tuples) are rotated according to the measured orientation).</div>
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  150. <h3>Field Summary</h3>
    151. 

  151. <table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Field Summary table, listing fields, and an explanation">
    152. 

  152. <caption><span>Fields</span><span class="tabEnd">&nbsp;</span></caption>
    153. 

  153. <tr>
    154. 

  154. <th class="colFirst" scope="col">Modifier and Type</th>
    155. 

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    156. 

  156. </tr>
    157. 

  157. <tr class="altColor">
    158. 

  158. <td class="colFirst"><code>static int</code></td>
    159. 

  159. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#FAST_SCORE">FAST_SCORE</a></span></code>&nbsp;</td>
    160. 

  160. </tr>
    161. 

  161. <tr class="rowColor">
    162. 

  162. <td class="colFirst"><code>static int</code></td>
    163. 

  163. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#HARRIS_SCORE">HARRIS_SCORE</a></span></code>&nbsp;</td>
    164. 

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  173. <h3>Method Summary</h3>
    174. 

  174. <table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
    175. 

  175. <caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd">&nbsp;</span></span><span id="t1" class="tableTab"><span><a href="javascript:show(1);">Static Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t2" class="tableTab"><span><a href="javascript:show(2);">Instance Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t4" class="tableTab"><span><a href="javascript:show(8);">Concrete Methods</a></span><span class="tabEnd">&nbsp;</span></span></caption>
    176. 

  176. <tr>
    177. 

  177. <th class="colFirst" scope="col">Modifier and Type</th>
    178. 

  178. <th class="colLast" scope="col">Method and Description</th>
    179. 

  179. </tr>
    180. 

  180. <tr id="i0" class="altColor">
    181. 

  181. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a></code></td>
    182. 

  182. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#Z:Z__fromPtr__-long-">__fromPtr__</a></span>(long&nbsp;addr)</code>&nbsp;</td>
    183. 

  183. </tr>
    184. 

  184. <tr id="i1" class="rowColor">
    185. 

  185. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a></code></td>
    186. 

  186. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#create--">create</a></span>()</code>
    187. 

  187. <div class="block">The ORB constructor
    188. 

  188. 

  189.      pyramid, where each next level has 4x less pixels than the previous, but such a big scale factor
    190. 

  190.      will degrade feature matching scores dramatically.</div>
    191. 

  191. </td>
    192. 

  192. </tr>
    193. 

  193. <tr id="i2" class="altColor">
    194. 

  194. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a></code></td>
    195. 

  195. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#create-int-">create</a></span>(int&nbsp;nfeatures)</code>
    196. 

  196. <div class="block">The ORB constructor</div>
    197. 

  197. </td>
    198. 

  198. </tr>
    199. 

  199. <tr id="i3" class="rowColor">
    200. 

  200. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a></code></td>
    201. 

  201. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#create-int-float-">create</a></span>(int&nbsp;nfeatures,
    202. 

  202.       float&nbsp;scaleFactor)</code>
    203. 

  203. <div class="block">The ORB constructor</div>
    204. 

  204. </td>
    205. 

  205. </tr>
    206. 

  206. <tr id="i4" class="altColor">
    207. 

  207. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a></code></td>
    208. 

  208. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#create-int-float-int-">create</a></span>(int&nbsp;nfeatures,
    209. 

  209.       float&nbsp;scaleFactor,
    210. 

  210.       int&nbsp;nlevels)</code>
    211. 

  211. <div class="block">The ORB constructor</div>
    212. 

  212. </td>
    213. 

  213. </tr>
    214. 

  214. <tr id="i5" class="rowColor">
    215. 

  215. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a></code></td>
    216. 

  216. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#create-int-float-int-int-">create</a></span>(int&nbsp;nfeatures,
    217. 

  217.       float&nbsp;scaleFactor,
    218. 

  218.       int&nbsp;nlevels,
    219. 

  219.       int&nbsp;edgeThreshold)</code>
    220. 

  220. <div class="block">The ORB constructor</div>
    221. 

  221. </td>
    222. 

  222. </tr>
    223. 

  223. <tr id="i6" class="altColor">
    224. 

  224. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a></code></td>
    225. 

  225. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#create-int-float-int-int-int-">create</a></span>(int&nbsp;nfeatures,
    226. 

  226.       float&nbsp;scaleFactor,
    227. 

  227.       int&nbsp;nlevels,
    228. 

  228.       int&nbsp;edgeThreshold,
    229. 

  229.       int&nbsp;firstLevel)</code>
    230. 

  230. <div class="block">The ORB constructor</div>
    231. 

  231. </td>
    232. 

  232. </tr>
    233. 

  233. <tr id="i7" class="rowColor">
    234. 

  234. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a></code></td>
    235. 

  235. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#create-int-float-int-int-int-int-">create</a></span>(int&nbsp;nfeatures,
    236. 

  236.       float&nbsp;scaleFactor,
    237. 

  237.       int&nbsp;nlevels,
    238. 

  238.       int&nbsp;edgeThreshold,
    239. 

  239.       int&nbsp;firstLevel,
    240. 

  240.       int&nbsp;WTA_K)</code>
    241. 

  241. <div class="block">The ORB constructor</div>
    242. 

  242. </td>
    243. 

  243. </tr>
    244. 

  244. <tr id="i8" class="altColor">
    245. 

  245. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a></code></td>
    246. 

  246. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#create-int-float-int-int-int-int-int-">create</a></span>(int&nbsp;nfeatures,
    247. 

  247.       float&nbsp;scaleFactor,
    248. 

  248.       int&nbsp;nlevels,
    249. 

  249.       int&nbsp;edgeThreshold,
    250. 

  250.       int&nbsp;firstLevel,
    251. 

  251.       int&nbsp;WTA_K,
    252. 

  252.       int&nbsp;scoreType)</code>
    253. 

  253. <div class="block">The ORB constructor</div>
    254. 

  254. </td>
    255. 

  255. </tr>
    256. 

  256. <tr id="i9" class="rowColor">
    257. 

  257. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a></code></td>
    258. 

  258. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#create-int-float-int-int-int-int-int-int-">create</a></span>(int&nbsp;nfeatures,
    259. 

  259.       float&nbsp;scaleFactor,
    260. 

  260.       int&nbsp;nlevels,
    261. 

  261.       int&nbsp;edgeThreshold,
    262. 

  262.       int&nbsp;firstLevel,
    263. 

  263.       int&nbsp;WTA_K,
    264. 

  264.       int&nbsp;scoreType,
    265. 

  265.       int&nbsp;patchSize)</code>
    266. 

  266. <div class="block">The ORB constructor</div>
    267. 

  267. </td>
    268. 

  268. </tr>
    269. 

  269. <tr id="i10" class="altColor">
    270. 

  270. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a></code></td>
    271. 

  271. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#create-int-float-int-int-int-int-int-int-int-">create</a></span>(int&nbsp;nfeatures,
    272. 

  272.       float&nbsp;scaleFactor,
    273. 

  273.       int&nbsp;nlevels,
    274. 

  274.       int&nbsp;edgeThreshold,
    275. 

  275.       int&nbsp;firstLevel,
    276. 

  276.       int&nbsp;WTA_K,
    277. 

  277.       int&nbsp;scoreType,
    278. 

  278.       int&nbsp;patchSize,
    279. 

  279.       int&nbsp;fastThreshold)</code>
    280. 

  280. <div class="block">The ORB constructor</div>
    281. 

  281. </td>
    282. 

  282. </tr>
    283. 

  283. <tr id="i11" class="rowColor">
    284. 

  284. <td class="colFirst"><code>java.lang.String</code></td>
    285. 

  285. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#getDefaultName--">getDefaultName</a></span>()</code>
    286. 

  286. <div class="block">Returns the algorithm string identifier.</div>
    287. 

  287. </td>
    288. 

  288. </tr>
    289. 

  289. <tr id="i12" class="altColor">
    290. 

  290. <td class="colFirst"><code>int</code></td>
    291. 

  291. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#getEdgeThreshold--">getEdgeThreshold</a></span>()</code>&nbsp;</td>
    292. 

  292. </tr>
    293. 

  293. <tr id="i13" class="rowColor">
    294. 

  294. <td class="colFirst"><code>int</code></td>
    295. 

  295. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#getFastThreshold--">getFastThreshold</a></span>()</code>&nbsp;</td>
    296. 

  296. </tr>
    297. 

  297. <tr id="i14" class="altColor">
    298. 

  298. <td class="colFirst"><code>int</code></td>
    299. 

  299. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#getFirstLevel--">getFirstLevel</a></span>()</code>&nbsp;</td>
    300. 

  300. </tr>
    301. 

  301. <tr id="i15" class="rowColor">
    302. 

  302. <td class="colFirst"><code>int</code></td>
    303. 

  303. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#getMaxFeatures--">getMaxFeatures</a></span>()</code>&nbsp;</td>
    304. 

  304. </tr>
    305. 

  305. <tr id="i16" class="altColor">
    306. 

  306. <td class="colFirst"><code>int</code></td>
    307. 

  307. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#getNLevels--">getNLevels</a></span>()</code>&nbsp;</td>
    308. 

  308. </tr>
    309. 

  309. <tr id="i17" class="rowColor">
    310. 

  310. <td class="colFirst"><code>int</code></td>
    311. 

  311. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#getPatchSize--">getPatchSize</a></span>()</code>&nbsp;</td>
    312. 

  312. </tr>
    313. 

  313. <tr id="i18" class="altColor">
    314. 

  314. <td class="colFirst"><code>double</code></td>
    315. 

  315. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#getScaleFactor--">getScaleFactor</a></span>()</code>&nbsp;</td>
    316. 

  316. </tr>
    317. 

  317. <tr id="i19" class="rowColor">
    318. 

  318. <td class="colFirst"><code>int</code></td>
    319. 

  319. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#getScoreType--">getScoreType</a></span>()</code>&nbsp;</td>
    320. 

  320. </tr>
    321. 

  321. <tr id="i20" class="altColor">
    322. 

  322. <td class="colFirst"><code>int</code></td>
    323. 

  323. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#getWTA_K--">getWTA_K</a></span>()</code>&nbsp;</td>
    324. 

  324. </tr>
    325. 

  325. <tr id="i21" class="rowColor">
    326. 

  326. <td class="colFirst"><code>void</code></td>
    327. 

  327. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#setEdgeThreshold-int-">setEdgeThreshold</a></span>(int&nbsp;edgeThreshold)</code>&nbsp;</td>
    328. 

  328. </tr>
    329. 

  329. <tr id="i22" class="altColor">
    330. 

  330. <td class="colFirst"><code>void</code></td>
    331. 

  331. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#setFastThreshold-int-">setFastThreshold</a></span>(int&nbsp;fastThreshold)</code>&nbsp;</td>
    332. 

  332. </tr>
    333. 

  333. <tr id="i23" class="rowColor">
    334. 

  334. <td class="colFirst"><code>void</code></td>
    335. 

  335. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#setFirstLevel-int-">setFirstLevel</a></span>(int&nbsp;firstLevel)</code>&nbsp;</td>
    336. 

  336. </tr>
    337. 

  337. <tr id="i24" class="altColor">
    338. 

  338. <td class="colFirst"><code>void</code></td>
    339. 

  339. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#setMaxFeatures-int-">setMaxFeatures</a></span>(int&nbsp;maxFeatures)</code>&nbsp;</td>
    340. 

  340. </tr>
    341. 

  341. <tr id="i25" class="rowColor">
    342. 

  342. <td class="colFirst"><code>void</code></td>
    343. 

  343. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#setNLevels-int-">setNLevels</a></span>(int&nbsp;nlevels)</code>&nbsp;</td>
    344. 

  344. </tr>
    345. 

  345. <tr id="i26" class="altColor">
    346. 

  346. <td class="colFirst"><code>void</code></td>
    347. 

  347. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#setPatchSize-int-">setPatchSize</a></span>(int&nbsp;patchSize)</code>&nbsp;</td>
    348. 

  348. </tr>
    349. 

  349. <tr id="i27" class="rowColor">
    350. 

  350. <td class="colFirst"><code>void</code></td>
    351. 

  351. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#setScaleFactor-double-">setScaleFactor</a></span>(double&nbsp;scaleFactor)</code>&nbsp;</td>
    352. 

  352. </tr>
    353. 

  353. <tr id="i28" class="altColor">
    354. 

  354. <td class="colFirst"><code>void</code></td>
    355. 

  355. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#setScoreType-int-">setScoreType</a></span>(int&nbsp;scoreType)</code>&nbsp;</td>
    356. 

  356. </tr>
    357. 

  357. <tr id="i29" class="rowColor">
    358. 

  358. <td class="colFirst"><code>void</code></td>
    359. 

  359. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/ORB.html#setWTA_K-int-">setWTA_K</a></span>(int&nbsp;wta_k)</code>&nbsp;</td>
    360. 

  360. </tr>
    361. 

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    362. 

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    363. 

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    364. 

  364. <!--   -->
    365. 

  365. </a>
    366. 

  366. <h3>Methods inherited from class&nbsp;org.opencv.features2d.<a href="../../../org/opencv/features2d/Feature2D.html" title="class in org.opencv.features2d">Feature2D</a></h3>
    367. 

  367. <code><a href="../../../org/opencv/features2d/Feature2D.html#compute-java.util.List-java.util.List-java.util.List-">compute</a>, <a href="../../../org/opencv/features2d/Feature2D.html#compute-org.opencv.core.Mat-org.opencv.core.MatOfKeyPoint-org.opencv.core.Mat-">compute</a>, <a href="../../../org/opencv/features2d/Feature2D.html#defaultNorm--">defaultNorm</a>, <a href="../../../org/opencv/features2d/Feature2D.html#descriptorSize--">descriptorSize</a>, <a href="../../../org/opencv/features2d/Feature2D.html#descriptorType--">descriptorType</a>, <a href="../../../org/opencv/features2d/Feature2D.html#detect-java.util.List-java.util.List-">detect</a>, <a href="../../../org/opencv/features2d/Feature2D.html#detect-java.util.List-java.util.List-java.util.List-">detect</a>, <a href="../../../org/opencv/features2d/Feature2D.html#detect-org.opencv.core.Mat-org.opencv.core.MatOfKeyPoint-">detect</a>, <a href="../../../org/opencv/features2d/Feature2D.html#detect-org.opencv.core.Mat-org.opencv.core.MatOfKeyPoint-org.opencv.core.Mat-">detect</a>, <a href="../../../org/opencv/features2d/Feature2D.html#detectAndCompute-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfKeyPoint-org.opencv.core.Mat-">detectAndCompute</a>, <a href="../../../org/opencv/features2d/Feature2D.html#detectAndCompute-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfKeyPoint-org.opencv.core.Mat-boolean-">detectAndCompute</a>, <a href="../../../org/opencv/features2d/Feature2D.html#empty--">empty</a>, <a href="../../../org/opencv/features2d/Feature2D.html#read-java.lang.String-">read</a>, <a href="../../../org/opencv/features2d/Feature2D.html#write-java.lang.String-">write</a></code></li>
    368. 

  368. </ul>
    369. 

  369. <ul class="blockList">
    370. 

  370. <li class="blockList"><a name="methods.inherited.from.class.org.opencv.core.Algorithm">
    371. 

  371. <!--   -->
    372. 

  372. </a>
    373. 

  373. <h3>Methods inherited from class&nbsp;org.opencv.core.<a href="../../../org/opencv/core/Algorithm.html" title="class in org.opencv.core">Algorithm</a></h3>
    374. 

  374. <code><a href="../../../org/opencv/core/Algorithm.html#clear--">clear</a>, <a href="../../../org/opencv/core/Algorithm.html#getNativeObjAddr--">getNativeObjAddr</a>, <a href="../../../org/opencv/core/Algorithm.html#save-java.lang.String-">save</a></code></li>
    375. 

  375. </ul>
    376. 

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    377. 

  377. <li class="blockList"><a name="methods.inherited.from.class.java.lang.Object">
    378. 

  378. <!--   -->
    379. 

  379. </a>
    380. 

  380. <h3>Methods inherited from class&nbsp;java.lang.Object</h3>
    381. 

  381. <code>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
    382. 

  382. </ul>
    383. 

  383. </li>
    384. 

  384. </ul>
    385. 

  385. </li>
    386. 

  386. </ul>
    387. 

  387. </div>
    388. 

  388. <div class="details">
    389. 

  389. <ul class="blockList">
    390. 

  390. <li class="blockList">
    391. 

  391. <!-- ============ FIELD DETAIL =========== -->
    392. 

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    393. 

  393. <li class="blockList"><a name="field.detail">
    394. 

  394. <!--   -->
    395. 

  395. </a>
    396. 

  396. <h3>Field Detail</h3>
    397. 

  397. <a name="FAST_SCORE">
    398. 

  398. <!--   -->
    399. 

  399. </a>
    400. 

  400. <ul class="blockList">
    401. 

  401. <li class="blockList">
    402. 

  402. <h4>FAST_SCORE</h4>
    403. 

  403. <pre>public static final&nbsp;int FAST_SCORE</pre>
    404. 

  404. <dl>
    405. 

  405. <dt><span class="seeLabel">See Also:</span></dt>
    406. 

  406. <dd><a href="../../../constant-values.html#org.opencv.features2d.ORB.FAST_SCORE">Constant Field Values</a></dd>
    407. 

  407. </dl>
    408. 

  408. </li>
    409. 

  409. </ul>
    410. 

  410. <a name="HARRIS_SCORE">
    411. 

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    412. 

  412. </a>
    413. 

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    414. 

  414. <li class="blockList">
    415. 

  415. <h4>HARRIS_SCORE</h4>
    416. 

  416. <pre>public static final&nbsp;int HARRIS_SCORE</pre>
    417. 

  417. <dl>
    418. 

  418. <dt><span class="seeLabel">See Also:</span></dt>
    419. 

  419. <dd><a href="../../../constant-values.html#org.opencv.features2d.ORB.HARRIS_SCORE">Constant Field Values</a></dd>
    420. 

  420. </dl>
    421. 

  421. </li>
    422. 

  422. </ul>
    423. 

  423. </li>
    424. 

  424. </ul>
    425. 

  425. <!-- ============ METHOD DETAIL ========== -->
    426. 

  426. <ul class="blockList">
    427. 

  427. <li class="blockList"><a name="method.detail">
    428. 

  428. <!--   -->
    429. 

  429. </a>
    430. 

  430. <h3>Method Detail</h3>
    431. 

  431. <a name="Z:Z__fromPtr__-long-">
    432. 

  432. <!--   -->
    433. 

  433. </a>
    434. 

  434. <ul class="blockList">
    435. 

  435. <li class="blockList">
    436. 

  436. <h4>__fromPtr__</h4>
    437. 

  437. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a>&nbsp;__fromPtr__(long&nbsp;addr)</pre>
    438. 

  438. </li>
    439. 

  439. </ul>
    440. 

  440. <a name="create--">
    441. 

  441. <!--   -->
    442. 

  442. </a>
    443. 

  443. <ul class="blockList">
    444. 

  444. <li class="blockList">
    445. 

  445. <h4>create</h4>
    446. 

  446. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a>&nbsp;create()</pre>
    447. 

  447. <div class="block">The ORB constructor
    448. 

  448. 

  449.      pyramid, where each next level has 4x less pixels than the previous, but such a big scale factor
    450. 

  450.      will degrade feature matching scores dramatically. On the other hand, too close to 1 scale factor
    451. 

  451.      will mean that to cover certain scale range you will need more pyramid levels and so the speed
    452. 

  452.      will suffer.
    453. 

  453.      input_image_linear_size/pow(scaleFactor, nlevels - firstLevel).
    454. 

  454.      roughly match the patchSize parameter.
    455. 

  455.      with upscaled source image.
    456. 

  456.      default value 2 means the BRIEF where we take a random point pair and compare their brightnesses,
    457. 

  457.      so we get 0/1 response. Other possible values are 3 and 4. For example, 3 means that we take 3
    458. 

  458.      random points (of course, those point coordinates are random, but they are generated from the
    459. 

  459.      pre-defined seed, so each element of BRIEF descriptor is computed deterministically from the pixel
    460. 

  460.      rectangle), find point of maximum brightness and output index of the winner (0, 1 or 2). Such
    461. 

  461.      output will occupy 2 bits, and therefore it will need a special variant of Hamming distance,
    462. 

  462.      denoted as NORM_HAMMING2 (2 bits per bin). When WTA_K=4, we take 4 random points to compute each
    463. 

  463.      bin (that will also occupy 2 bits with possible values 0, 1, 2 or 3).
    464. 

  464.      (the score is written to KeyPoint::score and is used to retain best nfeatures features);
    465. 

  465.      FAST_SCORE is alternative value of the parameter that produces slightly less stable keypoints,
    466. 

  466.      but it is a little faster to compute.
    467. 

  467.      pyramid layers the perceived image area covered by a feature will be larger.</div>
    468. 

  468. <dl>
    469. 

  469. <dt><span class="returnLabel">Returns:</span></dt>
    470. 

  470. <dd>automatically generated</dd>
    471. 

  471. </dl>
    472. 

  472. </li>
    473. 

  473. </ul>
    474. 

  474. <a name="create-int-">
    475. 

  475. <!--   -->
    476. 

  476. </a>
    477. 

  477. <ul class="blockList">
    478. 

  478. <li class="blockList">
    479. 

  479. <h4>create</h4>
    480. 

  480. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a>&nbsp;create(int&nbsp;nfeatures)</pre>
    481. 

  481. <div class="block">The ORB constructor</div>
    482. 

  482. <dl>
    483. 

  483. <dt><span class="paramLabel">Parameters:</span></dt>
    484. 

  484. <dd><code>nfeatures</code> - The maximum number of features to retain.
    485. 

  485.      pyramid, where each next level has 4x less pixels than the previous, but such a big scale factor
    486. 

  486.      will degrade feature matching scores dramatically. On the other hand, too close to 1 scale factor
    487. 

  487.      will mean that to cover certain scale range you will need more pyramid levels and so the speed
    488. 

  488.      will suffer.
    489. 

  489.      input_image_linear_size/pow(scaleFactor, nlevels - firstLevel).
    490. 

  490.      roughly match the patchSize parameter.
    491. 

  491.      with upscaled source image.
    492. 

  492.      default value 2 means the BRIEF where we take a random point pair and compare their brightnesses,
    493. 

  493.      so we get 0/1 response. Other possible values are 3 and 4. For example, 3 means that we take 3
    494. 

  494.      random points (of course, those point coordinates are random, but they are generated from the
    495. 

  495.      pre-defined seed, so each element of BRIEF descriptor is computed deterministically from the pixel
    496. 

  496.      rectangle), find point of maximum brightness and output index of the winner (0, 1 or 2). Such
    497. 

  497.      output will occupy 2 bits, and therefore it will need a special variant of Hamming distance,
    498. 

  498.      denoted as NORM_HAMMING2 (2 bits per bin). When WTA_K=4, we take 4 random points to compute each
    499. 

  499.      bin (that will also occupy 2 bits with possible values 0, 1, 2 or 3).
    500. 

  500.      (the score is written to KeyPoint::score and is used to retain best nfeatures features);
    501. 

  501.      FAST_SCORE is alternative value of the parameter that produces slightly less stable keypoints,
    502. 

  502.      but it is a little faster to compute.
    503. 

  503.      pyramid layers the perceived image area covered by a feature will be larger.</dd>
    504. 

  504. <dt><span class="returnLabel">Returns:</span></dt>
    505. 

  505. <dd>automatically generated</dd>
    506. 

  506. </dl>
    507. 

  507. </li>
    508. 

  508. </ul>
    509. 

  509. <a name="create-int-float-">
    510. 

  510. <!--   -->
    511. 

  511. </a>
    512. 

  512. <ul class="blockList">
    513. 

  513. <li class="blockList">
    514. 

  514. <h4>create</h4>
    515. 

  515. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a>&nbsp;create(int&nbsp;nfeatures,
    516. 

  516.                          float&nbsp;scaleFactor)</pre>
    517. 

  517. <div class="block">The ORB constructor</div>
    518. 

  518. <dl>
    519. 

  519. <dt><span class="paramLabel">Parameters:</span></dt>
    520. 

  520. <dd><code>nfeatures</code> - The maximum number of features to retain.</dd>
    521. 

  521. <dd><code>scaleFactor</code> - Pyramid decimation ratio, greater than 1. scaleFactor==2 means the classical
    522. 

  522.      pyramid, where each next level has 4x less pixels than the previous, but such a big scale factor
    523. 

  523.      will degrade feature matching scores dramatically. On the other hand, too close to 1 scale factor
    524. 

  524.      will mean that to cover certain scale range you will need more pyramid levels and so the speed
    525. 

  525.      will suffer.
    526. 

  526.      input_image_linear_size/pow(scaleFactor, nlevels - firstLevel).
    527. 

  527.      roughly match the patchSize parameter.
    528. 

  528.      with upscaled source image.
    529. 

  529.      default value 2 means the BRIEF where we take a random point pair and compare their brightnesses,
    530. 

  530.      so we get 0/1 response. Other possible values are 3 and 4. For example, 3 means that we take 3
    531. 

  531.      random points (of course, those point coordinates are random, but they are generated from the
    532. 

  532.      pre-defined seed, so each element of BRIEF descriptor is computed deterministically from the pixel
    533. 

  533.      rectangle), find point of maximum brightness and output index of the winner (0, 1 or 2). Such
    534. 

  534.      output will occupy 2 bits, and therefore it will need a special variant of Hamming distance,
    535. 

  535.      denoted as NORM_HAMMING2 (2 bits per bin). When WTA_K=4, we take 4 random points to compute each
    536. 

  536.      bin (that will also occupy 2 bits with possible values 0, 1, 2 or 3).
    537. 

  537.      (the score is written to KeyPoint::score and is used to retain best nfeatures features);
    538. 

  538.      FAST_SCORE is alternative value of the parameter that produces slightly less stable keypoints,
    539. 

  539.      but it is a little faster to compute.
    540. 

  540.      pyramid layers the perceived image area covered by a feature will be larger.</dd>
    541. 

  541. <dt><span class="returnLabel">Returns:</span></dt>
    542. 

  542. <dd>automatically generated</dd>
    543. 

  543. </dl>
    544. 

  544. </li>
    545. 

  545. </ul>
    546. 

  546. <a name="create-int-float-int-">
    547. 

  547. <!--   -->
    548. 

  548. </a>
    549. 

  549. <ul class="blockList">
    550. 

  550. <li class="blockList">
    551. 

  551. <h4>create</h4>
    552. 

  552. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a>&nbsp;create(int&nbsp;nfeatures,
    553. 

  553.                          float&nbsp;scaleFactor,
    554. 

  554.                          int&nbsp;nlevels)</pre>
    555. 

  555. <div class="block">The ORB constructor</div>
    556. 

  556. <dl>
    557. 

  557. <dt><span class="paramLabel">Parameters:</span></dt>
    558. 

  558. <dd><code>nfeatures</code> - The maximum number of features to retain.</dd>
    559. 

  559. <dd><code>scaleFactor</code> - Pyramid decimation ratio, greater than 1. scaleFactor==2 means the classical
    560. 

  560.      pyramid, where each next level has 4x less pixels than the previous, but such a big scale factor
    561. 

  561.      will degrade feature matching scores dramatically. On the other hand, too close to 1 scale factor
    562. 

  562.      will mean that to cover certain scale range you will need more pyramid levels and so the speed
    563. 

  563.      will suffer.</dd>
    564. 

  564. <dd><code>nlevels</code> - The number of pyramid levels. The smallest level will have linear size equal to
    565. 

  565.      input_image_linear_size/pow(scaleFactor, nlevels - firstLevel).
    566. 

  566.      roughly match the patchSize parameter.
    567. 

  567.      with upscaled source image.
    568. 

  568.      default value 2 means the BRIEF where we take a random point pair and compare their brightnesses,
    569. 

  569.      so we get 0/1 response. Other possible values are 3 and 4. For example, 3 means that we take 3
    570. 

  570.      random points (of course, those point coordinates are random, but they are generated from the
    571. 

  571.      pre-defined seed, so each element of BRIEF descriptor is computed deterministically from the pixel
    572. 

  572.      rectangle), find point of maximum brightness and output index of the winner (0, 1 or 2). Such
    573. 

  573.      output will occupy 2 bits, and therefore it will need a special variant of Hamming distance,
    574. 

  574.      denoted as NORM_HAMMING2 (2 bits per bin). When WTA_K=4, we take 4 random points to compute each
    575. 

  575.      bin (that will also occupy 2 bits with possible values 0, 1, 2 or 3).
    576. 

  576.      (the score is written to KeyPoint::score and is used to retain best nfeatures features);
    577. 

  577.      FAST_SCORE is alternative value of the parameter that produces slightly less stable keypoints,
    578. 

  578.      but it is a little faster to compute.
    579. 

  579.      pyramid layers the perceived image area covered by a feature will be larger.</dd>
    580. 

  580. <dt><span class="returnLabel">Returns:</span></dt>
    581. 

  581. <dd>automatically generated</dd>
    582. 

  582. </dl>
    583. 

  583. </li>
    584. 

  584. </ul>
    585. 

  585. <a name="create-int-float-int-int-">
    586. 

  586. <!--   -->
    587. 

  587. </a>
    588. 

  588. <ul class="blockList">
    589. 

  589. <li class="blockList">
    590. 

  590. <h4>create</h4>
    591. 

  591. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a>&nbsp;create(int&nbsp;nfeatures,
    592. 

  592.                          float&nbsp;scaleFactor,
    593. 

  593.                          int&nbsp;nlevels,
    594. 

  594.                          int&nbsp;edgeThreshold)</pre>
    595. 

  595. <div class="block">The ORB constructor</div>
    596. 

  596. <dl>
    597. 

  597. <dt><span class="paramLabel">Parameters:</span></dt>
    598. 

  598. <dd><code>nfeatures</code> - The maximum number of features to retain.</dd>
    599. 

  599. <dd><code>scaleFactor</code> - Pyramid decimation ratio, greater than 1. scaleFactor==2 means the classical
    600. 

  600.      pyramid, where each next level has 4x less pixels than the previous, but such a big scale factor
    601. 

  601.      will degrade feature matching scores dramatically. On the other hand, too close to 1 scale factor
    602. 

  602.      will mean that to cover certain scale range you will need more pyramid levels and so the speed
    603. 

  603.      will suffer.</dd>
    604. 

  604. <dd><code>nlevels</code> - The number of pyramid levels. The smallest level will have linear size equal to
    605. 

  605.      input_image_linear_size/pow(scaleFactor, nlevels - firstLevel).</dd>
    606. 

  606. <dd><code>edgeThreshold</code> - This is size of the border where the features are not detected. It should
    607. 

  607.      roughly match the patchSize parameter.
    608. 

  608.      with upscaled source image.
    609. 

  609.      default value 2 means the BRIEF where we take a random point pair and compare their brightnesses,
    610. 

  610.      so we get 0/1 response. Other possible values are 3 and 4. For example, 3 means that we take 3
    611. 

  611.      random points (of course, those point coordinates are random, but they are generated from the
    612. 

  612.      pre-defined seed, so each element of BRIEF descriptor is computed deterministically from the pixel
    613. 

  613.      rectangle), find point of maximum brightness and output index of the winner (0, 1 or 2). Such
    614. 

  614.      output will occupy 2 bits, and therefore it will need a special variant of Hamming distance,
    615. 

  615.      denoted as NORM_HAMMING2 (2 bits per bin). When WTA_K=4, we take 4 random points to compute each
    616. 

  616.      bin (that will also occupy 2 bits with possible values 0, 1, 2 or 3).
    617. 

  617.      (the score is written to KeyPoint::score and is used to retain best nfeatures features);
    618. 

  618.      FAST_SCORE is alternative value of the parameter that produces slightly less stable keypoints,
    619. 

  619.      but it is a little faster to compute.
    620. 

  620.      pyramid layers the perceived image area covered by a feature will be larger.</dd>
    621. 

  621. <dt><span class="returnLabel">Returns:</span></dt>
    622. 

  622. <dd>automatically generated</dd>
    623. 

  623. </dl>
    624. 

  624. </li>
    625. 

  625. </ul>
    626. 

  626. <a name="create-int-float-int-int-int-">
    627. 

  627. <!--   -->
    628. 

  628. </a>
    629. 

  629. <ul class="blockList">
    630. 

  630. <li class="blockList">
    631. 

  631. <h4>create</h4>
    632. 

  632. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a>&nbsp;create(int&nbsp;nfeatures,
    633. 

  633.                          float&nbsp;scaleFactor,
    634. 

  634.                          int&nbsp;nlevels,
    635. 

  635.                          int&nbsp;edgeThreshold,
    636. 

  636.                          int&nbsp;firstLevel)</pre>
    637. 

  637. <div class="block">The ORB constructor</div>
    638. 

  638. <dl>
    639. 

  639. <dt><span class="paramLabel">Parameters:</span></dt>
    640. 

  640. <dd><code>nfeatures</code> - The maximum number of features to retain.</dd>
    641. 

  641. <dd><code>scaleFactor</code> - Pyramid decimation ratio, greater than 1. scaleFactor==2 means the classical
    642. 

  642.      pyramid, where each next level has 4x less pixels than the previous, but such a big scale factor
    643. 

  643.      will degrade feature matching scores dramatically. On the other hand, too close to 1 scale factor
    644. 

  644.      will mean that to cover certain scale range you will need more pyramid levels and so the speed
    645. 

  645.      will suffer.</dd>
    646. 

  646. <dd><code>nlevels</code> - The number of pyramid levels. The smallest level will have linear size equal to
    647. 

  647.      input_image_linear_size/pow(scaleFactor, nlevels - firstLevel).</dd>
    648. 

  648. <dd><code>edgeThreshold</code> - This is size of the border where the features are not detected. It should
    649. 

  649.      roughly match the patchSize parameter.</dd>
    650. 

  650. <dd><code>firstLevel</code> - The level of pyramid to put source image to. Previous layers are filled
    651. 

  651.      with upscaled source image.
    652. 

  652.      default value 2 means the BRIEF where we take a random point pair and compare their brightnesses,
    653. 

  653.      so we get 0/1 response. Other possible values are 3 and 4. For example, 3 means that we take 3
    654. 

  654.      random points (of course, those point coordinates are random, but they are generated from the
    655. 

  655.      pre-defined seed, so each element of BRIEF descriptor is computed deterministically from the pixel
    656. 

  656.      rectangle), find point of maximum brightness and output index of the winner (0, 1 or 2). Such
    657. 

  657.      output will occupy 2 bits, and therefore it will need a special variant of Hamming distance,
    658. 

  658.      denoted as NORM_HAMMING2 (2 bits per bin). When WTA_K=4, we take 4 random points to compute each
    659. 

  659.      bin (that will also occupy 2 bits with possible values 0, 1, 2 or 3).
    660. 

  660.      (the score is written to KeyPoint::score and is used to retain best nfeatures features);
    661. 

  661.      FAST_SCORE is alternative value of the parameter that produces slightly less stable keypoints,
    662. 

  662.      but it is a little faster to compute.
    663. 

  663.      pyramid layers the perceived image area covered by a feature will be larger.</dd>
    664. 

  664. <dt><span class="returnLabel">Returns:</span></dt>
    665. 

  665. <dd>automatically generated</dd>
    666. 

  666. </dl>
    667. 

  667. </li>
    668. 

  668. </ul>
    669. 

  669. <a name="create-int-float-int-int-int-int-">
    670. 

  670. <!--   -->
    671. 

  671. </a>
    672. 

  672. <ul class="blockList">
    673. 

  673. <li class="blockList">
    674. 

  674. <h4>create</h4>
    675. 

  675. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a>&nbsp;create(int&nbsp;nfeatures,
    676. 

  676.                          float&nbsp;scaleFactor,
    677. 

  677.                          int&nbsp;nlevels,
    678. 

  678.                          int&nbsp;edgeThreshold,
    679. 

  679.                          int&nbsp;firstLevel,
    680. 

  680.                          int&nbsp;WTA_K)</pre>
    681. 

  681. <div class="block">The ORB constructor</div>
    682. 

  682. <dl>
    683. 

  683. <dt><span class="paramLabel">Parameters:</span></dt>
    684. 

  684. <dd><code>nfeatures</code> - The maximum number of features to retain.</dd>
    685. 

  685. <dd><code>scaleFactor</code> - Pyramid decimation ratio, greater than 1. scaleFactor==2 means the classical
    686. 

  686.      pyramid, where each next level has 4x less pixels than the previous, but such a big scale factor
    687. 

  687.      will degrade feature matching scores dramatically. On the other hand, too close to 1 scale factor
    688. 

  688.      will mean that to cover certain scale range you will need more pyramid levels and so the speed
    689. 

  689.      will suffer.</dd>
    690. 

  690. <dd><code>nlevels</code> - The number of pyramid levels. The smallest level will have linear size equal to
    691. 

  691.      input_image_linear_size/pow(scaleFactor, nlevels - firstLevel).</dd>
    692. 

  692. <dd><code>edgeThreshold</code> - This is size of the border where the features are not detected. It should
    693. 

  693.      roughly match the patchSize parameter.</dd>
    694. 

  694. <dd><code>firstLevel</code> - The level of pyramid to put source image to. Previous layers are filled
    695. 

  695.      with upscaled source image.</dd>
    696. 

  696. <dd><code>WTA_K</code> - The number of points that produce each element of the oriented BRIEF descriptor. The
    697. 

  697.      default value 2 means the BRIEF where we take a random point pair and compare their brightnesses,
    698. 

  698.      so we get 0/1 response. Other possible values are 3 and 4. For example, 3 means that we take 3
    699. 

  699.      random points (of course, those point coordinates are random, but they are generated from the
    700. 

  700.      pre-defined seed, so each element of BRIEF descriptor is computed deterministically from the pixel
    701. 

  701.      rectangle), find point of maximum brightness and output index of the winner (0, 1 or 2). Such
    702. 

  702.      output will occupy 2 bits, and therefore it will need a special variant of Hamming distance,
    703. 

  703.      denoted as NORM_HAMMING2 (2 bits per bin). When WTA_K=4, we take 4 random points to compute each
    704. 

  704.      bin (that will also occupy 2 bits with possible values 0, 1, 2 or 3).
    705. 

  705.      (the score is written to KeyPoint::score and is used to retain best nfeatures features);
    706. 

  706.      FAST_SCORE is alternative value of the parameter that produces slightly less stable keypoints,
    707. 

  707.      but it is a little faster to compute.
    708. 

  708.      pyramid layers the perceived image area covered by a feature will be larger.</dd>
    709. 

  709. <dt><span class="returnLabel">Returns:</span></dt>
    710. 

  710. <dd>automatically generated</dd>
    711. 

  711. </dl>
    712. 

  712. </li>
    713. 

  713. </ul>
    714. 

  714. <a name="create-int-float-int-int-int-int-int-">
    715. 

  715. <!--   -->
    716. 

  716. </a>
    717. 

  717. <ul class="blockList">
    718. 

  718. <li class="blockList">
    719. 

  719. <h4>create</h4>
    720. 

  720. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a>&nbsp;create(int&nbsp;nfeatures,
    721. 

  721.                          float&nbsp;scaleFactor,
    722. 

  722.                          int&nbsp;nlevels,
    723. 

  723.                          int&nbsp;edgeThreshold,
    724. 

  724.                          int&nbsp;firstLevel,
    725. 

  725.                          int&nbsp;WTA_K,
    726. 

  726.                          int&nbsp;scoreType)</pre>
    727. 

  727. <div class="block">The ORB constructor</div>
    728. 

  728. <dl>
    729. 

  729. <dt><span class="paramLabel">Parameters:</span></dt>
    730. 

  730. <dd><code>nfeatures</code> - The maximum number of features to retain.</dd>
    731. 

  731. <dd><code>scaleFactor</code> - Pyramid decimation ratio, greater than 1. scaleFactor==2 means the classical
    732. 

  732.      pyramid, where each next level has 4x less pixels than the previous, but such a big scale factor
    733. 

  733.      will degrade feature matching scores dramatically. On the other hand, too close to 1 scale factor
    734. 

  734.      will mean that to cover certain scale range you will need more pyramid levels and so the speed
    735. 

  735.      will suffer.</dd>
    736. 

  736. <dd><code>nlevels</code> - The number of pyramid levels. The smallest level will have linear size equal to
    737. 

  737.      input_image_linear_size/pow(scaleFactor, nlevels - firstLevel).</dd>
    738. 

  738. <dd><code>edgeThreshold</code> - This is size of the border where the features are not detected. It should
    739. 

  739.      roughly match the patchSize parameter.</dd>
    740. 

  740. <dd><code>firstLevel</code> - The level of pyramid to put source image to. Previous layers are filled
    741. 

  741.      with upscaled source image.</dd>
    742. 

  742. <dd><code>WTA_K</code> - The number of points that produce each element of the oriented BRIEF descriptor. The
    743. 

  743.      default value 2 means the BRIEF where we take a random point pair and compare their brightnesses,
    744. 

  744.      so we get 0/1 response. Other possible values are 3 and 4. For example, 3 means that we take 3
    745. 

  745.      random points (of course, those point coordinates are random, but they are generated from the
    746. 

  746.      pre-defined seed, so each element of BRIEF descriptor is computed deterministically from the pixel
    747. 

  747.      rectangle), find point of maximum brightness and output index of the winner (0, 1 or 2). Such
    748. 

  748.      output will occupy 2 bits, and therefore it will need a special variant of Hamming distance,
    749. 

  749.      denoted as NORM_HAMMING2 (2 bits per bin). When WTA_K=4, we take 4 random points to compute each
    750. 

  750.      bin (that will also occupy 2 bits with possible values 0, 1, 2 or 3).</dd>
    751. 

  751. <dd><code>scoreType</code> - The default HARRIS_SCORE means that Harris algorithm is used to rank features
    752. 

  752.      (the score is written to KeyPoint::score and is used to retain best nfeatures features);
    753. 

  753.      FAST_SCORE is alternative value of the parameter that produces slightly less stable keypoints,
    754. 

  754.      but it is a little faster to compute.
    755. 

  755.      pyramid layers the perceived image area covered by a feature will be larger.</dd>
    756. 

  756. <dt><span class="returnLabel">Returns:</span></dt>
    757. 

  757. <dd>automatically generated</dd>
    758. 

  758. </dl>
    759. 

  759. </li>
    760. 

  760. </ul>
    761. 

  761. <a name="create-int-float-int-int-int-int-int-int-">
    762. 

  762. <!--   -->
    763. 

  763. </a>
    764. 

  764. <ul class="blockList">
    765. 

  765. <li class="blockList">
    766. 

  766. <h4>create</h4>
    767. 

  767. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a>&nbsp;create(int&nbsp;nfeatures,
    768. 

  768.                          float&nbsp;scaleFactor,
    769. 

  769.                          int&nbsp;nlevels,
    770. 

  770.                          int&nbsp;edgeThreshold,
    771. 

  771.                          int&nbsp;firstLevel,
    772. 

  772.                          int&nbsp;WTA_K,
    773. 

  773.                          int&nbsp;scoreType,
    774. 

  774.                          int&nbsp;patchSize)</pre>
    775. 

  775. <div class="block">The ORB constructor</div>
    776. 

  776. <dl>
    777. 

  777. <dt><span class="paramLabel">Parameters:</span></dt>
    778. 

  778. <dd><code>nfeatures</code> - The maximum number of features to retain.</dd>
    779. 

  779. <dd><code>scaleFactor</code> - Pyramid decimation ratio, greater than 1. scaleFactor==2 means the classical
    780. 

  780.      pyramid, where each next level has 4x less pixels than the previous, but such a big scale factor
    781. 

  781.      will degrade feature matching scores dramatically. On the other hand, too close to 1 scale factor
    782. 

  782.      will mean that to cover certain scale range you will need more pyramid levels and so the speed
    783. 

  783.      will suffer.</dd>
    784. 

  784. <dd><code>nlevels</code> - The number of pyramid levels. The smallest level will have linear size equal to
    785. 

  785.      input_image_linear_size/pow(scaleFactor, nlevels - firstLevel).</dd>
    786. 

  786. <dd><code>edgeThreshold</code> - This is size of the border where the features are not detected. It should
    787. 

  787.      roughly match the patchSize parameter.</dd>
    788. 

  788. <dd><code>firstLevel</code> - The level of pyramid to put source image to. Previous layers are filled
    789. 

  789.      with upscaled source image.</dd>
    790. 

  790. <dd><code>WTA_K</code> - The number of points that produce each element of the oriented BRIEF descriptor. The
    791. 

  791.      default value 2 means the BRIEF where we take a random point pair and compare their brightnesses,
    792. 

  792.      so we get 0/1 response. Other possible values are 3 and 4. For example, 3 means that we take 3
    793. 

  793.      random points (of course, those point coordinates are random, but they are generated from the
    794. 

  794.      pre-defined seed, so each element of BRIEF descriptor is computed deterministically from the pixel
    795. 

  795.      rectangle), find point of maximum brightness and output index of the winner (0, 1 or 2). Such
    796. 

  796.      output will occupy 2 bits, and therefore it will need a special variant of Hamming distance,
    797. 

  797.      denoted as NORM_HAMMING2 (2 bits per bin). When WTA_K=4, we take 4 random points to compute each
    798. 

  798.      bin (that will also occupy 2 bits with possible values 0, 1, 2 or 3).</dd>
    799. 

  799. <dd><code>scoreType</code> - The default HARRIS_SCORE means that Harris algorithm is used to rank features
    800. 

  800.      (the score is written to KeyPoint::score and is used to retain best nfeatures features);
    801. 

  801.      FAST_SCORE is alternative value of the parameter that produces slightly less stable keypoints,
    802. 

  802.      but it is a little faster to compute.</dd>
    803. 

  803. <dd><code>patchSize</code> - size of the patch used by the oriented BRIEF descriptor. Of course, on smaller
    804. 

  804.      pyramid layers the perceived image area covered by a feature will be larger.</dd>
    805. 

  805. <dt><span class="returnLabel">Returns:</span></dt>
    806. 

  806. <dd>automatically generated</dd>
    807. 

  807. </dl>
    808. 

  808. </li>
    809. 

  809. </ul>
    810. 

  810. <a name="create-int-float-int-int-int-int-int-int-int-">
    811. 

  811. <!--   -->
    812. 

  812. </a>
    813. 

  813. <ul class="blockList">
    814. 

  814. <li class="blockList">
    815. 

  815. <h4>create</h4>
    816. 

  816. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/ORB.html" title="class in org.opencv.features2d">ORB</a>&nbsp;create(int&nbsp;nfeatures,
    817. 

  817.                          float&nbsp;scaleFactor,
    818. 

  818.                          int&nbsp;nlevels,
    819. 

  819.                          int&nbsp;edgeThreshold,
    820. 

  820.                          int&nbsp;firstLevel,
    821. 

  821.                          int&nbsp;WTA_K,
    822. 

  822.                          int&nbsp;scoreType,
    823. 

  823.                          int&nbsp;patchSize,
    824. 

  824.                          int&nbsp;fastThreshold)</pre>
    825. 

  825. <div class="block">The ORB constructor</div>
    826. 

  826. <dl>
    827. 

  827. <dt><span class="paramLabel">Parameters:</span></dt>
    828. 

  828. <dd><code>nfeatures</code> - The maximum number of features to retain.</dd>
    829. 

  829. <dd><code>scaleFactor</code> - Pyramid decimation ratio, greater than 1. scaleFactor==2 means the classical
    830. 

  830.      pyramid, where each next level has 4x less pixels than the previous, but such a big scale factor
    831. 

  831.      will degrade feature matching scores dramatically. On the other hand, too close to 1 scale factor
    832. 

  832.      will mean that to cover certain scale range you will need more pyramid levels and so the speed
    833. 

  833.      will suffer.</dd>
    834. 

  834. <dd><code>nlevels</code> - The number of pyramid levels. The smallest level will have linear size equal to
    835. 

  835.      input_image_linear_size/pow(scaleFactor, nlevels - firstLevel).</dd>
    836. 

  836. <dd><code>edgeThreshold</code> - This is size of the border where the features are not detected. It should
    837. 

  837.      roughly match the patchSize parameter.</dd>
    838. 

  838. <dd><code>firstLevel</code> - The level of pyramid to put source image to. Previous layers are filled
    839. 

  839.      with upscaled source image.</dd>
    840. 

  840. <dd><code>WTA_K</code> - The number of points that produce each element of the oriented BRIEF descriptor. The
    841. 

  841.      default value 2 means the BRIEF where we take a random point pair and compare their brightnesses,
    842. 

  842.      so we get 0/1 response. Other possible values are 3 and 4. For example, 3 means that we take 3
    843. 

  843.      random points (of course, those point coordinates are random, but they are generated from the
    844. 

  844.      pre-defined seed, so each element of BRIEF descriptor is computed deterministically from the pixel
    845. 

  845.      rectangle), find point of maximum brightness and output index of the winner (0, 1 or 2). Such
    846. 

  846.      output will occupy 2 bits, and therefore it will need a special variant of Hamming distance,
    847. 

  847.      denoted as NORM_HAMMING2 (2 bits per bin). When WTA_K=4, we take 4 random points to compute each
    848. 

  848.      bin (that will also occupy 2 bits with possible values 0, 1, 2 or 3).</dd>
    849. 

  849. <dd><code>scoreType</code> - The default HARRIS_SCORE means that Harris algorithm is used to rank features
    850. 

  850.      (the score is written to KeyPoint::score and is used to retain best nfeatures features);
    851. 

  851.      FAST_SCORE is alternative value of the parameter that produces slightly less stable keypoints,
    852. 

  852.      but it is a little faster to compute.</dd>
    853. 

  853. <dd><code>patchSize</code> - size of the patch used by the oriented BRIEF descriptor. Of course, on smaller
    854. 

  854.      pyramid layers the perceived image area covered by a feature will be larger.</dd>
    855. 

  855. <dd><code>fastThreshold</code> - the fast threshold</dd>
    856. 

  856. <dt><span class="returnLabel">Returns:</span></dt>
    857. 

  857. <dd>automatically generated</dd>
    858. 

  858. </dl>
    859. 

  859. </li>
    860. 

  860. </ul>
    861. 

  861. <a name="getDefaultName--">
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