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SIFT.html

SIFT.html 39 KB
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  103. <div class="header">
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  104. <div class="subTitle">org.opencv.features2d</div>
    105. 

  105. <h2 title="Class SIFT" class="title">Class SIFT</h2>
    106. 

  106. </div>
    107. 

  107. <div class="contentContainer">
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  108. <ul class="inheritance">
    109. 

  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>
    117. 

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

  118. <li>org.opencv.features2d.SIFT</li>
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    120. 

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  131. <pre>public class <span class="typeNameLabel">SIFT</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 for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform
    134. 

  134.  (SIFT) algorithm by D. Lowe CITE: Lowe04 .</div>
    135. 

  135. </li>
    136. 

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    138. 

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    146. 

  146. <h3>Method Summary</h3>
    147. 

  147. <table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
    148. 

  148. <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>
    149. 

  149. <tr>
    150. 

  150. <th class="colFirst" scope="col">Modifier and Type</th>
    151. 

  151. <th class="colLast" scope="col">Method and Description</th>
    152. 

  152. </tr>
    153. 

  153. <tr id="i0" class="altColor">
    154. 

  154. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a></code></td>
    155. 

  155. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#Z:Z__fromPtr__-long-">__fromPtr__</a></span>(long&nbsp;addr)</code>&nbsp;</td>
    156. 

  156. </tr>
    157. 

  157. <tr id="i1" class="rowColor">
    158. 

  158. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a></code></td>
    159. 

  159. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#create--">create</a></span>()</code>
    160. 

  160. <div class="block">(measured in SIFT algorithm as the local contrast)
    161. 

  161. 

  162.      number of octaves is computed automatically from the image resolution.</div>
    163. 

  163. </td>
    164. 

  164. </tr>
    165. 

  165. <tr id="i2" class="altColor">
    166. 

  166. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a></code></td>
    167. 

  167. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#create-int-">create</a></span>(int&nbsp;nfeatures)</code>&nbsp;</td>
    168. 

  168. </tr>
    169. 

  169. <tr id="i3" class="rowColor">
    170. 

  170. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a></code></td>
    171. 

  171. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#create-int-int-">create</a></span>(int&nbsp;nfeatures,
    172. 

  172.       int&nbsp;nOctaveLayers)</code>&nbsp;</td>
    173. 

  173. </tr>
    174. 

  174. <tr id="i4" class="altColor">
    175. 

  175. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a></code></td>
    176. 

  176. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#create-int-int-double-">create</a></span>(int&nbsp;nfeatures,
    177. 

  177.       int&nbsp;nOctaveLayers,
    178. 

  178.       double&nbsp;contrastThreshold)</code>&nbsp;</td>
    179. 

  179. </tr>
    180. 

  180. <tr id="i5" class="rowColor">
    181. 

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

  182. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#create-int-int-double-double-">create</a></span>(int&nbsp;nfeatures,
    183. 

  183.       int&nbsp;nOctaveLayers,
    184. 

  184.       double&nbsp;contrastThreshold,
    185. 

  185.       double&nbsp;edgeThreshold)</code>&nbsp;</td>
    186. 

  186. </tr>
    187. 

  187. <tr id="i6" class="altColor">
    188. 

  188. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a></code></td>
    189. 

  189. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#create-int-int-double-double-double-">create</a></span>(int&nbsp;nfeatures,
    190. 

  190.       int&nbsp;nOctaveLayers,
    191. 

  191.       double&nbsp;contrastThreshold,
    192. 

  192.       double&nbsp;edgeThreshold,
    193. 

  193.       double&nbsp;sigma)</code>&nbsp;</td>
    194. 

  194. </tr>
    195. 

  195. <tr id="i7" class="rowColor">
    196. 

  196. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a></code></td>
    197. 

  197. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#create-int-int-double-double-double-boolean-">create</a></span>(int&nbsp;nfeatures,
    198. 

  198.       int&nbsp;nOctaveLayers,
    199. 

  199.       double&nbsp;contrastThreshold,
    200. 

  200.       double&nbsp;edgeThreshold,
    201. 

  201.       double&nbsp;sigma,
    202. 

  202.       boolean&nbsp;enable_precise_upscale)</code>&nbsp;</td>
    203. 

  203. </tr>
    204. 

  204. <tr id="i8" class="altColor">
    205. 

  205. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a></code></td>
    206. 

  206. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#create-int-int-double-double-double-int-">create</a></span>(int&nbsp;nfeatures,
    207. 

  207.       int&nbsp;nOctaveLayers,
    208. 

  208.       double&nbsp;contrastThreshold,
    209. 

  209.       double&nbsp;edgeThreshold,
    210. 

  210.       double&nbsp;sigma,
    211. 

  211.       int&nbsp;descriptorType)</code>
    212. 

  212. <div class="block">Create SIFT with specified descriptorType.</div>
    213. 

  213. </td>
    214. 

  214. </tr>
    215. 

  215. <tr id="i9" class="rowColor">
    216. 

  216. <td class="colFirst"><code>static <a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a></code></td>
    217. 

  217. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#create-int-int-double-double-double-int-boolean-">create</a></span>(int&nbsp;nfeatures,
    218. 

  218.       int&nbsp;nOctaveLayers,
    219. 

  219.       double&nbsp;contrastThreshold,
    220. 

  220.       double&nbsp;edgeThreshold,
    221. 

  221.       double&nbsp;sigma,
    222. 

  222.       int&nbsp;descriptorType,
    223. 

  223.       boolean&nbsp;enable_precise_upscale)</code>
    224. 

  224. <div class="block">Create SIFT with specified descriptorType.</div>
    225. 

  225. </td>
    226. 

  226. </tr>
    227. 

  227. <tr id="i10" class="altColor">
    228. 

  228. <td class="colFirst"><code>double</code></td>
    229. 

  229. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#getContrastThreshold--">getContrastThreshold</a></span>()</code>&nbsp;</td>
    230. 

  230. </tr>
    231. 

  231. <tr id="i11" class="rowColor">
    232. 

  232. <td class="colFirst"><code>java.lang.String</code></td>
    233. 

  233. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#getDefaultName--">getDefaultName</a></span>()</code>
    234. 

  234. <div class="block">Returns the algorithm string identifier.</div>
    235. 

  235. </td>
    236. 

  236. </tr>
    237. 

  237. <tr id="i12" class="altColor">
    238. 

  238. <td class="colFirst"><code>double</code></td>
    239. 

  239. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#getEdgeThreshold--">getEdgeThreshold</a></span>()</code>&nbsp;</td>
    240. 

  240. </tr>
    241. 

  241. <tr id="i13" class="rowColor">
    242. 

  242. <td class="colFirst"><code>int</code></td>
    243. 

  243. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#getNFeatures--">getNFeatures</a></span>()</code>&nbsp;</td>
    244. 

  244. </tr>
    245. 

  245. <tr id="i14" class="altColor">
    246. 

  246. <td class="colFirst"><code>int</code></td>
    247. 

  247. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#getNOctaveLayers--">getNOctaveLayers</a></span>()</code>&nbsp;</td>
    248. 

  248. </tr>
    249. 

  249. <tr id="i15" class="rowColor">
    250. 

  250. <td class="colFirst"><code>double</code></td>
    251. 

  251. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#getSigma--">getSigma</a></span>()</code>&nbsp;</td>
    252. 

  252. </tr>
    253. 

  253. <tr id="i16" class="altColor">
    254. 

  254. <td class="colFirst"><code>void</code></td>
    255. 

  255. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#setContrastThreshold-double-">setContrastThreshold</a></span>(double&nbsp;contrastThreshold)</code>&nbsp;</td>
    256. 

  256. </tr>
    257. 

  257. <tr id="i17" class="rowColor">
    258. 

  258. <td class="colFirst"><code>void</code></td>
    259. 

  259. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#setEdgeThreshold-double-">setEdgeThreshold</a></span>(double&nbsp;edgeThreshold)</code>&nbsp;</td>
    260. 

  260. </tr>
    261. 

  261. <tr id="i18" class="altColor">
    262. 

  262. <td class="colFirst"><code>void</code></td>
    263. 

  263. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#setNFeatures-int-">setNFeatures</a></span>(int&nbsp;maxFeatures)</code>&nbsp;</td>
    264. 

  264. </tr>
    265. 

  265. <tr id="i19" class="rowColor">
    266. 

  266. <td class="colFirst"><code>void</code></td>
    267. 

  267. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#setNOctaveLayers-int-">setNOctaveLayers</a></span>(int&nbsp;nOctaveLayers)</code>&nbsp;</td>
    268. 

  268. </tr>
    269. 

  269. <tr id="i20" class="altColor">
    270. 

  270. <td class="colFirst"><code>void</code></td>
    271. 

  271. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/SIFT.html#setSigma-double-">setSigma</a></span>(double&nbsp;sigma)</code>&nbsp;</td>
    272. 

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    273. 

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    274. 

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    275. 

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    276. 

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    277. 

  277. </a>
    278. 

  278. <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>
    279. 

  279. <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>
    280. 

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    281. 

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    282. 

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    283. 

  283. <!--   -->
    284. 

  284. </a>
    285. 

  285. <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>
    286. 

  286. <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>
    287. 

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    289. 

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    290. 

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    291. 

  291. </a>
    292. 

  292. <h3>Methods inherited from class&nbsp;java.lang.Object</h3>
    293. 

  293. <code>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
    294. 

  294. </ul>
    295. 

  295. </li>
    296. 

  296. </ul>
    297. 

  297. </li>
    298. 

  298. </ul>
    299. 

  299. </div>
    300. 

  300. <div class="details">
    301. 

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    302. 

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    303. 

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    305. 

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    306. 

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    307. 

  307. </a>
    308. 

  308. <h3>Method Detail</h3>
    309. 

  309. <a name="Z:Z__fromPtr__-long-">
    310. 

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    311. 

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    312. 

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    313. 

  313. <li class="blockList">
    314. 

  314. <h4>__fromPtr__</h4>
    315. 

  315. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a>&nbsp;__fromPtr__(long&nbsp;addr)</pre>
    316. 

  316. </li>
    317. 

  317. </ul>
    318. 

  318. <a name="create--">
    319. 

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    320. 

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    321. 

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    322. 

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    323. 

  323. <h4>create</h4>
    324. 

  324. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a>&nbsp;create()</pre>
    325. 

  325. <div class="block">(measured in SIFT algorithm as the local contrast)
    326. 

  326. 

  327.      number of octaves is computed automatically from the image resolution.
    328. 

  328. 

  329.      (low-contrast) regions. The larger the threshold, the less features are produced by the detector.
    330. 

  330. 

  331.      <b>Note:</b> The contrast threshold will be divided by nOctaveLayers when the filtering is applied. When
    332. 

  332.      nOctaveLayers is set to default and if you want to use the value used in D. Lowe paper, 0.03, set
    333. 

  333.      this argument to 0.09.
    334. 

  334. 

  335.      is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
    336. 

  336.      filtered out (more features are retained).
    337. 

  337. 

  338.      is captured with a weak camera with soft lenses, you might want to reduce the number.
    339. 

  339. 

  340.      index \(\texttt{x}\) to \(\texttt{2x}\). This prevents localization bias. The option
    341. 

  341.      is disabled by default.</div>
    342. 

  342. <dl>
    343. 

  343. <dt><span class="returnLabel">Returns:</span></dt>
    344. 

  344. <dd>automatically generated</dd>
    345. 

  345. </dl>
    346. 

  346. </li>
    347. 

  347. </ul>
    348. 

  348. <a name="create-int-">
    349. 

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    350. 

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    351. 

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    352. 

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    353. 

  353. <h4>create</h4>
    354. 

  354. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a>&nbsp;create(int&nbsp;nfeatures)</pre>
    355. 

  355. <dl>
    356. 

  356. <dt><span class="paramLabel">Parameters:</span></dt>
    357. 

  357. <dd><code>nfeatures</code> - The number of best features to retain. The features are ranked by their scores
    358. 

  358.      (measured in SIFT algorithm as the local contrast)
    359. 

  359. 

  360.      number of octaves is computed automatically from the image resolution.
    361. 

  361. 

  362.      (low-contrast) regions. The larger the threshold, the less features are produced by the detector.
    363. 

  363. 

  364.      <b>Note:</b> The contrast threshold will be divided by nOctaveLayers when the filtering is applied. When
    365. 

  365.      nOctaveLayers is set to default and if you want to use the value used in D. Lowe paper, 0.03, set
    366. 

  366.      this argument to 0.09.
    367. 

  367. 

  368.      is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
    369. 

  369.      filtered out (more features are retained).
    370. 

  370. 

  371.      is captured with a weak camera with soft lenses, you might want to reduce the number.
    372. 

  372. 

  373.      index \(\texttt{x}\) to \(\texttt{2x}\). This prevents localization bias. The option
    374. 

  374.      is disabled by default.</dd>
    375. 

  375. <dt><span class="returnLabel">Returns:</span></dt>
    376. 

  376. <dd>automatically generated</dd>
    377. 

  377. </dl>
    378. 

  378. </li>
    379. 

  379. </ul>
    380. 

  380. <a name="create-int-int-">
    381. 

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    382. 

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    383. 

  383. <ul class="blockList">
    384. 

  384. <li class="blockList">
    385. 

  385. <h4>create</h4>
    386. 

  386. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a>&nbsp;create(int&nbsp;nfeatures,
    387. 

  387.                           int&nbsp;nOctaveLayers)</pre>
    388. 

  388. <dl>
    389. 

  389. <dt><span class="paramLabel">Parameters:</span></dt>
    390. 

  390. <dd><code>nfeatures</code> - The number of best features to retain. The features are ranked by their scores
    391. 

  391.      (measured in SIFT algorithm as the local contrast)</dd>
    392. 

  392. <dd><code>nOctaveLayers</code> - The number of layers in each octave. 3 is the value used in D. Lowe paper. The
    393. 

  393.      number of octaves is computed automatically from the image resolution.
    394. 

  394. 

  395.      (low-contrast) regions. The larger the threshold, the less features are produced by the detector.
    396. 

  396. 

  397.      <b>Note:</b> The contrast threshold will be divided by nOctaveLayers when the filtering is applied. When
    398. 

  398.      nOctaveLayers is set to default and if you want to use the value used in D. Lowe paper, 0.03, set
    399. 

  399.      this argument to 0.09.
    400. 

  400. 

  401.      is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
    402. 

  402.      filtered out (more features are retained).
    403. 

  403. 

  404.      is captured with a weak camera with soft lenses, you might want to reduce the number.
    405. 

  405. 

  406.      index \(\texttt{x}\) to \(\texttt{2x}\). This prevents localization bias. The option
    407. 

  407.      is disabled by default.</dd>
    408. 

  408. <dt><span class="returnLabel">Returns:</span></dt>
    409. 

  409. <dd>automatically generated</dd>
    410. 

  410. </dl>
    411. 

  411. </li>
    412. 

  412. </ul>
    413. 

  413. <a name="create-int-int-double-">
    414. 

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    415. 

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    416. 

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    417. 

  417. <li class="blockList">
    418. 

  418. <h4>create</h4>
    419. 

  419. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a>&nbsp;create(int&nbsp;nfeatures,
    420. 

  420.                           int&nbsp;nOctaveLayers,
    421. 

  421.                           double&nbsp;contrastThreshold)</pre>
    422. 

  422. <dl>
    423. 

  423. <dt><span class="paramLabel">Parameters:</span></dt>
    424. 

  424. <dd><code>nfeatures</code> - The number of best features to retain. The features are ranked by their scores
    425. 

  425.      (measured in SIFT algorithm as the local contrast)</dd>
    426. 

  426. <dd><code>nOctaveLayers</code> - The number of layers in each octave. 3 is the value used in D. Lowe paper. The
    427. 

  427.      number of octaves is computed automatically from the image resolution.</dd>
    428. 

  428. <dd><code>contrastThreshold</code> - The contrast threshold used to filter out weak features in semi-uniform
    429. 

  429.      (low-contrast) regions. The larger the threshold, the less features are produced by the detector.
    430. 

  430. 

  431.      <b>Note:</b> The contrast threshold will be divided by nOctaveLayers when the filtering is applied. When
    432. 

  432.      nOctaveLayers is set to default and if you want to use the value used in D. Lowe paper, 0.03, set
    433. 

  433.      this argument to 0.09.
    434. 

  434. 

  435.      is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
    436. 

  436.      filtered out (more features are retained).
    437. 

  437. 

  438.      is captured with a weak camera with soft lenses, you might want to reduce the number.
    439. 

  439. 

  440.      index \(\texttt{x}\) to \(\texttt{2x}\). This prevents localization bias. The option
    441. 

  441.      is disabled by default.</dd>
    442. 

  442. <dt><span class="returnLabel">Returns:</span></dt>
    443. 

  443. <dd>automatically generated</dd>
    444. 

  444. </dl>
    445. 

  445. </li>
    446. 

  446. </ul>
    447. 

  447. <a name="create-int-int-double-double-">
    448. 

  448. <!--   -->
    449. 

  449. </a>
    450. 

  450. <ul class="blockList">
    451. 

  451. <li class="blockList">
    452. 

  452. <h4>create</h4>
    453. 

  453. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a>&nbsp;create(int&nbsp;nfeatures,
    454. 

  454.                           int&nbsp;nOctaveLayers,
    455. 

  455.                           double&nbsp;contrastThreshold,
    456. 

  456.                           double&nbsp;edgeThreshold)</pre>
    457. 

  457. <dl>
    458. 

  458. <dt><span class="paramLabel">Parameters:</span></dt>
    459. 

  459. <dd><code>nfeatures</code> - The number of best features to retain. The features are ranked by their scores
    460. 

  460.      (measured in SIFT algorithm as the local contrast)</dd>
    461. 

  461. <dd><code>nOctaveLayers</code> - The number of layers in each octave. 3 is the value used in D. Lowe paper. The
    462. 

  462.      number of octaves is computed automatically from the image resolution.</dd>
    463. 

  463. <dd><code>contrastThreshold</code> - The contrast threshold used to filter out weak features in semi-uniform
    464. 

  464.      (low-contrast) regions. The larger the threshold, the less features are produced by the detector.
    465. 

  465. 

  466.      <b>Note:</b> The contrast threshold will be divided by nOctaveLayers when the filtering is applied. When
    467. 

  467.      nOctaveLayers is set to default and if you want to use the value used in D. Lowe paper, 0.03, set
    468. 

  468.      this argument to 0.09.</dd>
    469. 

  469. <dd><code>edgeThreshold</code> - The threshold used to filter out edge-like features. Note that the its meaning
    470. 

  470.      is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
    471. 

  471.      filtered out (more features are retained).
    472. 

  472. 

  473.      is captured with a weak camera with soft lenses, you might want to reduce the number.
    474. 

  474. 

  475.      index \(\texttt{x}\) to \(\texttt{2x}\). This prevents localization bias. The option
    476. 

  476.      is disabled by default.</dd>
    477. 

  477. <dt><span class="returnLabel">Returns:</span></dt>
    478. 

  478. <dd>automatically generated</dd>
    479. 

  479. </dl>
    480. 

  480. </li>
    481. 

  481. </ul>
    482. 

  482. <a name="create-int-int-double-double-double-">
    483. 

  483. <!--   -->
    484. 

  484. </a>
    485. 

  485. <ul class="blockList">
    486. 

  486. <li class="blockList">
    487. 

  487. <h4>create</h4>
    488. 

  488. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a>&nbsp;create(int&nbsp;nfeatures,
    489. 

  489.                           int&nbsp;nOctaveLayers,
    490. 

  490.                           double&nbsp;contrastThreshold,
    491. 

  491.                           double&nbsp;edgeThreshold,
    492. 

  492.                           double&nbsp;sigma)</pre>
    493. 

  493. <dl>
    494. 

  494. <dt><span class="paramLabel">Parameters:</span></dt>
    495. 

  495. <dd><code>nfeatures</code> - The number of best features to retain. The features are ranked by their scores
    496. 

  496.      (measured in SIFT algorithm as the local contrast)</dd>
    497. 

  497. <dd><code>nOctaveLayers</code> - The number of layers in each octave. 3 is the value used in D. Lowe paper. The
    498. 

  498.      number of octaves is computed automatically from the image resolution.</dd>
    499. 

  499. <dd><code>contrastThreshold</code> - The contrast threshold used to filter out weak features in semi-uniform
    500. 

  500.      (low-contrast) regions. The larger the threshold, the less features are produced by the detector.
    501. 

  501. 

  502.      <b>Note:</b> The contrast threshold will be divided by nOctaveLayers when the filtering is applied. When
    503. 

  503.      nOctaveLayers is set to default and if you want to use the value used in D. Lowe paper, 0.03, set
    504. 

  504.      this argument to 0.09.</dd>
    505. 

  505. <dd><code>edgeThreshold</code> - The threshold used to filter out edge-like features. Note that the its meaning
    506. 

  506.      is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
    507. 

  507.      filtered out (more features are retained).</dd>
    508. 

  508. <dd><code>sigma</code> - The sigma of the Gaussian applied to the input image at the octave \#0. If your image
    509. 

  509.      is captured with a weak camera with soft lenses, you might want to reduce the number.
    510. 

  510. 

  511.      index \(\texttt{x}\) to \(\texttt{2x}\). This prevents localization bias. The option
    512. 

  512.      is disabled by default.</dd>
    513. 

  513. <dt><span class="returnLabel">Returns:</span></dt>
    514. 

  514. <dd>automatically generated</dd>
    515. 

  515. </dl>
    516. 

  516. </li>
    517. 

  517. </ul>
    518. 

  518. <a name="create-int-int-double-double-double-boolean-">
    519. 

  519. <!--   -->
    520. 

  520. </a>
    521. 

  521. <ul class="blockList">
    522. 

  522. <li class="blockList">
    523. 

  523. <h4>create</h4>
    524. 

  524. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a>&nbsp;create(int&nbsp;nfeatures,
    525. 

  525.                           int&nbsp;nOctaveLayers,
    526. 

  526.                           double&nbsp;contrastThreshold,
    527. 

  527.                           double&nbsp;edgeThreshold,
    528. 

  528.                           double&nbsp;sigma,
    529. 

  529.                           boolean&nbsp;enable_precise_upscale)</pre>
    530. 

  530. <dl>
    531. 

  531. <dt><span class="paramLabel">Parameters:</span></dt>
    532. 

  532. <dd><code>nfeatures</code> - The number of best features to retain. The features are ranked by their scores
    533. 

  533.      (measured in SIFT algorithm as the local contrast)</dd>
    534. 

  534. <dd><code>nOctaveLayers</code> - The number of layers in each octave. 3 is the value used in D. Lowe paper. The
    535. 

  535.      number of octaves is computed automatically from the image resolution.</dd>
    536. 

  536. <dd><code>contrastThreshold</code> - The contrast threshold used to filter out weak features in semi-uniform
    537. 

  537.      (low-contrast) regions. The larger the threshold, the less features are produced by the detector.
    538. 

  538. 

  539.      <b>Note:</b> The contrast threshold will be divided by nOctaveLayers when the filtering is applied. When
    540. 

  540.      nOctaveLayers is set to default and if you want to use the value used in D. Lowe paper, 0.03, set
    541. 

  541.      this argument to 0.09.</dd>
    542. 

  542. <dd><code>edgeThreshold</code> - The threshold used to filter out edge-like features. Note that the its meaning
    543. 

  543.      is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
    544. 

  544.      filtered out (more features are retained).</dd>
    545. 

  545. <dd><code>sigma</code> - The sigma of the Gaussian applied to the input image at the octave \#0. If your image
    546. 

  546.      is captured with a weak camera with soft lenses, you might want to reduce the number.</dd>
    547. 

  547. <dd><code>enable_precise_upscale</code> - Whether to enable precise upscaling in the scale pyramid, which maps
    548. 

  548.      index \(\texttt{x}\) to \(\texttt{2x}\). This prevents localization bias. The option
    549. 

  549.      is disabled by default.</dd>
    550. 

  550. <dt><span class="returnLabel">Returns:</span></dt>
    551. 

  551. <dd>automatically generated</dd>
    552. 

  552. </dl>
    553. 

  553. </li>
    554. 

  554. </ul>
    555. 

  555. <a name="create-int-int-double-double-double-int-">
    556. 

  556. <!--   -->
    557. 

  557. </a>
    558. 

  558. <ul class="blockList">
    559. 

  559. <li class="blockList">
    560. 

  560. <h4>create</h4>
    561. 

  561. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a>&nbsp;create(int&nbsp;nfeatures,
    562. 

  562.                           int&nbsp;nOctaveLayers,
    563. 

  563.                           double&nbsp;contrastThreshold,
    564. 

  564.                           double&nbsp;edgeThreshold,
    565. 

  565.                           double&nbsp;sigma,
    566. 

  566.                           int&nbsp;descriptorType)</pre>
    567. 

  567. <div class="block">Create SIFT with specified descriptorType.</div>
    568. 

  568. <dl>
    569. 

  569. <dt><span class="paramLabel">Parameters:</span></dt>
    570. 

  570. <dd><code>nfeatures</code> - The number of best features to retain. The features are ranked by their scores
    571. 

  571.      (measured in SIFT algorithm as the local contrast)</dd>
    572. 

  572. <dd><code>nOctaveLayers</code> - The number of layers in each octave. 3 is the value used in D. Lowe paper. The
    573. 

  573.      number of octaves is computed automatically from the image resolution.</dd>
    574. 

  574. <dd><code>contrastThreshold</code> - The contrast threshold used to filter out weak features in semi-uniform
    575. 

  575.      (low-contrast) regions. The larger the threshold, the less features are produced by the detector.
    576. 

  576. 

  577.      <b>Note:</b> The contrast threshold will be divided by nOctaveLayers when the filtering is applied. When
    578. 

  578.      nOctaveLayers is set to default and if you want to use the value used in D. Lowe paper, 0.03, set
    579. 

  579.      this argument to 0.09.</dd>
    580. 

  580. <dd><code>edgeThreshold</code> - The threshold used to filter out edge-like features. Note that the its meaning
    581. 

  581.      is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
    582. 

  582.      filtered out (more features are retained).</dd>
    583. 

  583. <dd><code>sigma</code> - The sigma of the Gaussian applied to the input image at the octave \#0. If your image
    584. 

  584.      is captured with a weak camera with soft lenses, you might want to reduce the number.</dd>
    585. 

  585. <dd><code>descriptorType</code> - The type of descriptors. Only CV_32F and CV_8U are supported.
    586. 

  586. 

  587.      index \(\texttt{x}\) to \(\texttt{2x}\). This prevents localization bias. The option
    588. 

  588.      is disabled by default.</dd>
    589. 

  589. <dt><span class="returnLabel">Returns:</span></dt>
    590. 

  590. <dd>automatically generated</dd>
    591. 

  591. </dl>
    592. 

  592. </li>
    593. 

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    594. 

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  599. <h4>create</h4>
    600. 

  600. <pre>public static&nbsp;<a href="../../../org/opencv/features2d/SIFT.html" title="class in org.opencv.features2d">SIFT</a>&nbsp;create(int&nbsp;nfeatures,
    601. 

  601.                           int&nbsp;nOctaveLayers,
    602. 

  602.                           double&nbsp;contrastThreshold,
    603. 

  603.                           double&nbsp;edgeThreshold,
    604. 

  604.                           double&nbsp;sigma,
    605. 

  605.                           int&nbsp;descriptorType,
    606. 

  606.                           boolean&nbsp;enable_precise_upscale)</pre>
    607. 

  607. <div class="block">Create SIFT with specified descriptorType.</div>
    608. 

  608. <dl>
    609. 

  609. <dt><span class="paramLabel">Parameters:</span></dt>
    610. 

  610. <dd><code>nfeatures</code> - The number of best features to retain. The features are ranked by their scores
    611. 

  611.      (measured in SIFT algorithm as the local contrast)</dd>
    612. 

  612. <dd><code>nOctaveLayers</code> - The number of layers in each octave. 3 is the value used in D. Lowe paper. The
    613. 

  613.      number of octaves is computed automatically from the image resolution.</dd>
    614. 

  614. <dd><code>contrastThreshold</code> - The contrast threshold used to filter out weak features in semi-uniform
    615. 

  615.      (low-contrast) regions. The larger the threshold, the less features are produced by the detector.
    616. 

  616. 

  617.      <b>Note:</b> The contrast threshold will be divided by nOctaveLayers when the filtering is applied. When
    618. 

  618.      nOctaveLayers is set to default and if you want to use the value used in D. Lowe paper, 0.03, set
    619. 

  619.      this argument to 0.09.</dd>
    620. 

  620. <dd><code>edgeThreshold</code> - The threshold used to filter out edge-like features. Note that the its meaning
    621. 

  621.      is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
    622. 

  622.      filtered out (more features are retained).</dd>
    623. 

  623. <dd><code>sigma</code> - The sigma of the Gaussian applied to the input image at the octave \#0. If your image
    624. 

  624.      is captured with a weak camera with soft lenses, you might want to reduce the number.</dd>
    625. 

  625. <dd><code>descriptorType</code> - The type of descriptors. Only CV_32F and CV_8U are supported.</dd>
    626. 

  626. <dd><code>enable_precise_upscale</code> - Whether to enable precise upscaling in the scale pyramid, which maps
    627. 

  627.      index \(\texttt{x}\) to \(\texttt{2x}\). This prevents localization bias. The option
    628. 

  628.      is disabled by default.</dd>
    629. 

  629. <dt><span class="returnLabel">Returns:</span></dt>
    630. 

  630. <dd>automatically generated</dd>
    631. 

  631. </dl>
    632. 

  632. </li>
    633. 

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    634. 

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  639. <h4>getContrastThreshold</h4>
    640. 

  640. <pre>public&nbsp;double&nbsp;getContrastThreshold()</pre>
    641. 

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    642. 

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    649. 

  649. <pre>public&nbsp;java.lang.String&nbsp;getDefaultName()</pre>
    650. 

  650. <div class="block"><span class="descfrmTypeLabel">Description copied from class:&nbsp;<code><a href="../../../org/opencv/core/Algorithm.html#getDefaultName--">Algorithm</a></code></span></div>
    651. 

  651. <div class="block">Returns the algorithm string identifier.
    652. 

  652.  This string is used as top level xml/yml node tag when the object is saved to a file or string.</div>
    653. 

  653. <dl>
    654. 

  654. <dt><span class="overrideSpecifyLabel">Overrides:</span></dt>
    655. 

  655. <dd><code><a href="../../../org/opencv/features2d/Feature2D.html#getDefaultName--">getDefaultName</a></code>&nbsp;in class&nbsp;<code><a href="../../../org/opencv/features2d/Feature2D.html" title="class in org.opencv.features2d">Feature2D</a></code></dd>
    656. 

  656. <dt><span class="returnLabel">Returns:</span></dt>
    657. 

  657. <dd>automatically generated</dd>
    658. 

  658. </dl>
    659. 

  659. </li>
    660. 

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    661. 

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  667. <pre>public&nbsp;double&nbsp;getEdgeThreshold()</pre>
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    676. 

  676. <pre>public&nbsp;int&nbsp;getNFeatures()</pre>
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    685. 

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    687. 

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