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- <div class="subTitle">org.opencv.objdetect</div>
- <h2 title="Class ArucoDetector" class="title">Class ArucoDetector</h2>
- </div>
- <div class="contentContainer">
- <ul class="inheritance">
- <li>java.lang.Object</li>
- <li>
- <ul class="inheritance">
- <li><a href="../../../org/opencv/core/Algorithm.html" title="class in org.opencv.core">org.opencv.core.Algorithm</a></li>
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- <li>org.opencv.objdetect.ArucoDetector</li>
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- <div class="description">
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- <pre>public class <span class="typeNameLabel">ArucoDetector</span>
- extends <a href="../../../org/opencv/core/Algorithm.html" title="class in org.opencv.core">Algorithm</a></pre>
- <div class="block">The main functionality of ArucoDetector class is detection of markers in an image with detectMarkers() method.
- After detecting some markers in the image, you can try to find undetected markers from this dictionary with
- refineDetectedMarkers() method.
- SEE: DetectorParameters, RefineParameters</div>
- </li>
- </ul>
- </div>
- <div class="summary">
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- <tr>
- <th class="colOne" scope="col">Constructor and Description</th>
- </tr>
- <tr class="altColor">
- <td class="colOne"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#ArucoDetector--">ArucoDetector</a></span>()</code>
- <div class="block">Basic ArucoDetector constructor</div>
- </td>
- </tr>
- <tr class="rowColor">
- <td class="colOne"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#ArucoDetector-org.opencv.objdetect.Dictionary-">ArucoDetector</a></span>(<a href="../../../org/opencv/objdetect/Dictionary.html" title="class in org.opencv.objdetect">Dictionary</a> dictionary)</code>
- <div class="block">Basic ArucoDetector constructor</div>
- </td>
- </tr>
- <tr class="altColor">
- <td class="colOne"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#ArucoDetector-org.opencv.objdetect.Dictionary-org.opencv.objdetect.DetectorParameters-">ArucoDetector</a></span>(<a href="../../../org/opencv/objdetect/Dictionary.html" title="class in org.opencv.objdetect">Dictionary</a> dictionary,
- <a href="../../../org/opencv/objdetect/DetectorParameters.html" title="class in org.opencv.objdetect">DetectorParameters</a> detectorParams)</code>
- <div class="block">Basic ArucoDetector constructor</div>
- </td>
- </tr>
- <tr class="rowColor">
- <td class="colOne"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#ArucoDetector-org.opencv.objdetect.Dictionary-org.opencv.objdetect.DetectorParameters-org.opencv.objdetect.RefineParameters-">ArucoDetector</a></span>(<a href="../../../org/opencv/objdetect/Dictionary.html" title="class in org.opencv.objdetect">Dictionary</a> dictionary,
- <a href="../../../org/opencv/objdetect/DetectorParameters.html" title="class in org.opencv.objdetect">DetectorParameters</a> detectorParams,
- <a href="../../../org/opencv/objdetect/RefineParameters.html" title="class in org.opencv.objdetect">RefineParameters</a> refineParams)</code>
- <div class="block">Basic ArucoDetector constructor</div>
- </td>
- </tr>
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- <h3>Method Summary</h3>
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- <caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd"> </span></span><span id="t1" class="tableTab"><span><a href="javascript:show(1);">Static Methods</a></span><span class="tabEnd"> </span></span><span id="t2" class="tableTab"><span><a href="javascript:show(2);">Instance Methods</a></span><span class="tabEnd"> </span></span><span id="t4" class="tableTab"><span><a href="javascript:show(8);">Concrete Methods</a></span><span class="tabEnd"> </span></span></caption>
- <tr>
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- <th class="colLast" scope="col">Method and Description</th>
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- <tr id="i0" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/objdetect/ArucoDetector.html" title="class in org.opencv.objdetect">ArucoDetector</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#Z:Z__fromPtr__-long-">__fromPtr__</a></span>(long addr)</code> </td>
- </tr>
- <tr id="i1" class="rowColor">
- <td class="colFirst"><code>void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#detectMarkers-org.opencv.core.Mat-java.util.List-org.opencv.core.Mat-">detectMarkers</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> corners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> ids)</code>
- <div class="block">Basic marker detection</div>
- </td>
- </tr>
- <tr id="i2" class="altColor">
- <td class="colFirst"><code>void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#detectMarkers-org.opencv.core.Mat-java.util.List-org.opencv.core.Mat-java.util.List-">detectMarkers</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> corners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> ids,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> rejectedImgPoints)</code>
- <div class="block">Basic marker detection</div>
- </td>
- </tr>
- <tr id="i3" class="rowColor">
- <td class="colFirst"><code><a href="../../../org/opencv/objdetect/DetectorParameters.html" title="class in org.opencv.objdetect">DetectorParameters</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#getDetectorParameters--">getDetectorParameters</a></span>()</code> </td>
- </tr>
- <tr id="i4" class="altColor">
- <td class="colFirst"><code><a href="../../../org/opencv/objdetect/Dictionary.html" title="class in org.opencv.objdetect">Dictionary</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#getDictionary--">getDictionary</a></span>()</code> </td>
- </tr>
- <tr id="i5" class="rowColor">
- <td class="colFirst"><code><a href="../../../org/opencv/objdetect/RefineParameters.html" title="class in org.opencv.objdetect">RefineParameters</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#getRefineParameters--">getRefineParameters</a></span>()</code> </td>
- </tr>
- <tr id="i6" class="altColor">
- <td class="colFirst"><code>void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#refineDetectedMarkers-org.opencv.core.Mat-org.opencv.objdetect.Board-java.util.List-org.opencv.core.Mat-java.util.List-">refineDetectedMarkers</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/objdetect/Board.html" title="class in org.opencv.objdetect">Board</a> board,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> detectedCorners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> detectedIds,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> rejectedCorners)</code>
- <div class="block">Refine not detected markers based on the already detected and the board layout</div>
- </td>
- </tr>
- <tr id="i7" class="rowColor">
- <td class="colFirst"><code>void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#refineDetectedMarkers-org.opencv.core.Mat-org.opencv.objdetect.Board-java.util.List-org.opencv.core.Mat-java.util.List-org.opencv.core.Mat-">refineDetectedMarkers</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/objdetect/Board.html" title="class in org.opencv.objdetect">Board</a> board,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> detectedCorners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> detectedIds,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> rejectedCorners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cameraMatrix)</code>
- <div class="block">Refine not detected markers based on the already detected and the board layout</div>
- </td>
- </tr>
- <tr id="i8" class="altColor">
- <td class="colFirst"><code>void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#refineDetectedMarkers-org.opencv.core.Mat-org.opencv.objdetect.Board-java.util.List-org.opencv.core.Mat-java.util.List-org.opencv.core.Mat-org.opencv.core.Mat-">refineDetectedMarkers</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/objdetect/Board.html" title="class in org.opencv.objdetect">Board</a> board,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> detectedCorners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> detectedIds,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> rejectedCorners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cameraMatrix,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> distCoeffs)</code>
- <div class="block">Refine not detected markers based on the already detected and the board layout</div>
- </td>
- </tr>
- <tr id="i9" class="rowColor">
- <td class="colFirst"><code>void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#refineDetectedMarkers-org.opencv.core.Mat-org.opencv.objdetect.Board-java.util.List-org.opencv.core.Mat-java.util.List-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">refineDetectedMarkers</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/objdetect/Board.html" title="class in org.opencv.objdetect">Board</a> board,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> detectedCorners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> detectedIds,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> rejectedCorners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cameraMatrix,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> distCoeffs,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> recoveredIdxs)</code>
- <div class="block">Refine not detected markers based on the already detected and the board layout</div>
- </td>
- </tr>
- <tr id="i10" class="altColor">
- <td class="colFirst"><code>void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#setDetectorParameters-org.opencv.objdetect.DetectorParameters-">setDetectorParameters</a></span>(<a href="../../../org/opencv/objdetect/DetectorParameters.html" title="class in org.opencv.objdetect">DetectorParameters</a> detectorParameters)</code> </td>
- </tr>
- <tr id="i11" class="rowColor">
- <td class="colFirst"><code>void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#setDictionary-org.opencv.objdetect.Dictionary-">setDictionary</a></span>(<a href="../../../org/opencv/objdetect/Dictionary.html" title="class in org.opencv.objdetect">Dictionary</a> dictionary)</code> </td>
- </tr>
- <tr id="i12" class="altColor">
- <td class="colFirst"><code>void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/ArucoDetector.html#setRefineParameters-org.opencv.objdetect.RefineParameters-">setRefineParameters</a></span>(<a href="../../../org/opencv/objdetect/RefineParameters.html" title="class in org.opencv.objdetect">RefineParameters</a> refineParameters)</code> </td>
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- <code><a href="../../../org/opencv/core/Algorithm.html#clear--">clear</a>, <a href="../../../org/opencv/core/Algorithm.html#empty--">empty</a>, <a href="../../../org/opencv/core/Algorithm.html#getDefaultName--">getDefaultName</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>
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- <h3>Constructor Detail</h3>
- <a name="ArucoDetector--">
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- <ul class="blockList">
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- <h4>ArucoDetector</h4>
- <pre>public ArucoDetector()</pre>
- <div class="block">Basic ArucoDetector constructor</div>
- </li>
- </ul>
- <a name="ArucoDetector-org.opencv.objdetect.Dictionary-">
- <!-- -->
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- <ul class="blockList">
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- <h4>ArucoDetector</h4>
- <pre>public ArucoDetector(<a href="../../../org/opencv/objdetect/Dictionary.html" title="class in org.opencv.objdetect">Dictionary</a> dictionary)</pre>
- <div class="block">Basic ArucoDetector constructor</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>dictionary</code> - indicates the type of markers that will be searched</dd>
- </dl>
- </li>
- </ul>
- <a name="ArucoDetector-org.opencv.objdetect.Dictionary-org.opencv.objdetect.DetectorParameters-">
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- <ul class="blockList">
- <li class="blockList">
- <h4>ArucoDetector</h4>
- <pre>public ArucoDetector(<a href="../../../org/opencv/objdetect/Dictionary.html" title="class in org.opencv.objdetect">Dictionary</a> dictionary,
- <a href="../../../org/opencv/objdetect/DetectorParameters.html" title="class in org.opencv.objdetect">DetectorParameters</a> detectorParams)</pre>
- <div class="block">Basic ArucoDetector constructor</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>dictionary</code> - indicates the type of markers that will be searched</dd>
- <dd><code>detectorParams</code> - marker detection parameters</dd>
- </dl>
- </li>
- </ul>
- <a name="ArucoDetector-org.opencv.objdetect.Dictionary-org.opencv.objdetect.DetectorParameters-org.opencv.objdetect.RefineParameters-">
- <!-- -->
- </a>
- <ul class="blockListLast">
- <li class="blockList">
- <h4>ArucoDetector</h4>
- <pre>public ArucoDetector(<a href="../../../org/opencv/objdetect/Dictionary.html" title="class in org.opencv.objdetect">Dictionary</a> dictionary,
- <a href="../../../org/opencv/objdetect/DetectorParameters.html" title="class in org.opencv.objdetect">DetectorParameters</a> detectorParams,
- <a href="../../../org/opencv/objdetect/RefineParameters.html" title="class in org.opencv.objdetect">RefineParameters</a> refineParams)</pre>
- <div class="block">Basic ArucoDetector constructor</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>dictionary</code> - indicates the type of markers that will be searched</dd>
- <dd><code>detectorParams</code> - marker detection parameters</dd>
- <dd><code>refineParams</code> - marker refine detection parameters</dd>
- </dl>
- </li>
- </ul>
- </li>
- </ul>
- <!-- ============ METHOD DETAIL ========== -->
- <ul class="blockList">
- <li class="blockList"><a name="method.detail">
- <!-- -->
- </a>
- <h3>Method Detail</h3>
- <a name="Z:Z__fromPtr__-long-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>__fromPtr__</h4>
- <pre>public static <a href="../../../org/opencv/objdetect/ArucoDetector.html" title="class in org.opencv.objdetect">ArucoDetector</a> __fromPtr__(long addr)</pre>
- </li>
- </ul>
- <a name="detectMarkers-org.opencv.core.Mat-java.util.List-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>detectMarkers</h4>
- <pre>public void detectMarkers(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> corners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> ids)</pre>
- <div class="block">Basic marker detection</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - input image</dd>
- <dd><code>corners</code> - vector of detected marker corners. For each marker, its four corners
- are provided, (e.g std::vector<std::vector<cv::Point2f> > ). For N detected markers,
- the dimensions of this array is Nx4. The order of the corners is clockwise.</dd>
- <dd><code>ids</code> - vector of identifiers of the detected markers. The identifier is of type int
- (e.g. std::vector<int>). For N detected markers, the size of ids is also N.
- The identifiers have the same order than the markers in the imgPoints array.
- correct codification. Useful for debugging purposes.
- Performs marker detection in the input image. Only markers included in the specific dictionary
- are searched. For each detected marker, it returns the 2D position of its corner in the image
- and its corresponding identifier.
- Note that this function does not perform pose estimation.
- <b>Note:</b> The function does not correct lens distortion or takes it into account. It's recommended to undistort
- input image with corresponding camera model, if camera parameters are known
- SEE: undistort, estimatePoseSingleMarkers, estimatePoseBoard</dd>
- </dl>
- </li>
- </ul>
- <a name="detectMarkers-org.opencv.core.Mat-java.util.List-org.opencv.core.Mat-java.util.List-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>detectMarkers</h4>
- <pre>public void detectMarkers(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> corners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> ids,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> rejectedImgPoints)</pre>
- <div class="block">Basic marker detection</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - input image</dd>
- <dd><code>corners</code> - vector of detected marker corners. For each marker, its four corners
- are provided, (e.g std::vector<std::vector<cv::Point2f> > ). For N detected markers,
- the dimensions of this array is Nx4. The order of the corners is clockwise.</dd>
- <dd><code>ids</code> - vector of identifiers of the detected markers. The identifier is of type int
- (e.g. std::vector<int>). For N detected markers, the size of ids is also N.
- The identifiers have the same order than the markers in the imgPoints array.</dd>
- <dd><code>rejectedImgPoints</code> - contains the imgPoints of those squares whose inner code has not a
- correct codification. Useful for debugging purposes.
- Performs marker detection in the input image. Only markers included in the specific dictionary
- are searched. For each detected marker, it returns the 2D position of its corner in the image
- and its corresponding identifier.
- Note that this function does not perform pose estimation.
- <b>Note:</b> The function does not correct lens distortion or takes it into account. It's recommended to undistort
- input image with corresponding camera model, if camera parameters are known
- SEE: undistort, estimatePoseSingleMarkers, estimatePoseBoard</dd>
- </dl>
- </li>
- </ul>
- <a name="getDetectorParameters--">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getDetectorParameters</h4>
- <pre>public <a href="../../../org/opencv/objdetect/DetectorParameters.html" title="class in org.opencv.objdetect">DetectorParameters</a> getDetectorParameters()</pre>
- </li>
- </ul>
- <a name="getDictionary--">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getDictionary</h4>
- <pre>public <a href="../../../org/opencv/objdetect/Dictionary.html" title="class in org.opencv.objdetect">Dictionary</a> getDictionary()</pre>
- </li>
- </ul>
- <a name="getRefineParameters--">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getRefineParameters</h4>
- <pre>public <a href="../../../org/opencv/objdetect/RefineParameters.html" title="class in org.opencv.objdetect">RefineParameters</a> getRefineParameters()</pre>
- </li>
- </ul>
- <a name="refineDetectedMarkers-org.opencv.core.Mat-org.opencv.objdetect.Board-java.util.List-org.opencv.core.Mat-java.util.List-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>refineDetectedMarkers</h4>
- <pre>public void refineDetectedMarkers(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/objdetect/Board.html" title="class in org.opencv.objdetect">Board</a> board,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> detectedCorners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> detectedIds,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> rejectedCorners)</pre>
- <div class="block">Refine not detected markers based on the already detected and the board layout</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - input image</dd>
- <dd><code>board</code> - layout of markers in the board.</dd>
- <dd><code>detectedCorners</code> - vector of already detected marker corners.</dd>
- <dd><code>detectedIds</code> - vector of already detected marker identifiers.</dd>
- <dd><code>rejectedCorners</code> - vector of rejected candidates during the marker detection process.
- \(A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\)
- \((k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6],[s_1, s_2, s_3, s_4]])\) of 4, 5, 8 or 12 elements
- original rejectedCorners array.
- This function tries to find markers that were not detected in the basic detecMarkers function.
- First, based on the current detected marker and the board layout, the function interpolates
- the position of the missing markers. Then it tries to find correspondence between the reprojected
- markers and the rejected candidates based on the minRepDistance and errorCorrectionRate parameters.
- If camera parameters and distortion coefficients are provided, missing markers are reprojected
- using projectPoint function. If not, missing marker projections are interpolated using global
- homography, and all the marker corners in the board must have the same Z coordinate.</dd>
- </dl>
- </li>
- </ul>
- <a name="refineDetectedMarkers-org.opencv.core.Mat-org.opencv.objdetect.Board-java.util.List-org.opencv.core.Mat-java.util.List-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>refineDetectedMarkers</h4>
- <pre>public void refineDetectedMarkers(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/objdetect/Board.html" title="class in org.opencv.objdetect">Board</a> board,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> detectedCorners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> detectedIds,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> rejectedCorners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cameraMatrix)</pre>
- <div class="block">Refine not detected markers based on the already detected and the board layout</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - input image</dd>
- <dd><code>board</code> - layout of markers in the board.</dd>
- <dd><code>detectedCorners</code> - vector of already detected marker corners.</dd>
- <dd><code>detectedIds</code> - vector of already detected marker identifiers.</dd>
- <dd><code>rejectedCorners</code> - vector of rejected candidates during the marker detection process.</dd>
- <dd><code>cameraMatrix</code> - optional input 3x3 floating-point camera matrix
- \(A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\)
- \((k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6],[s_1, s_2, s_3, s_4]])\) of 4, 5, 8 or 12 elements
- original rejectedCorners array.
- This function tries to find markers that were not detected in the basic detecMarkers function.
- First, based on the current detected marker and the board layout, the function interpolates
- the position of the missing markers. Then it tries to find correspondence between the reprojected
- markers and the rejected candidates based on the minRepDistance and errorCorrectionRate parameters.
- If camera parameters and distortion coefficients are provided, missing markers are reprojected
- using projectPoint function. If not, missing marker projections are interpolated using global
- homography, and all the marker corners in the board must have the same Z coordinate.</dd>
- </dl>
- </li>
- </ul>
- <a name="refineDetectedMarkers-org.opencv.core.Mat-org.opencv.objdetect.Board-java.util.List-org.opencv.core.Mat-java.util.List-org.opencv.core.Mat-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>refineDetectedMarkers</h4>
- <pre>public void refineDetectedMarkers(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/objdetect/Board.html" title="class in org.opencv.objdetect">Board</a> board,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> detectedCorners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> detectedIds,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> rejectedCorners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cameraMatrix,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> distCoeffs)</pre>
- <div class="block">Refine not detected markers based on the already detected and the board layout</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - input image</dd>
- <dd><code>board</code> - layout of markers in the board.</dd>
- <dd><code>detectedCorners</code> - vector of already detected marker corners.</dd>
- <dd><code>detectedIds</code> - vector of already detected marker identifiers.</dd>
- <dd><code>rejectedCorners</code> - vector of rejected candidates during the marker detection process.</dd>
- <dd><code>cameraMatrix</code> - optional input 3x3 floating-point camera matrix
- \(A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\)</dd>
- <dd><code>distCoeffs</code> - optional vector of distortion coefficients
- \((k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6],[s_1, s_2, s_3, s_4]])\) of 4, 5, 8 or 12 elements
- original rejectedCorners array.
- This function tries to find markers that were not detected in the basic detecMarkers function.
- First, based on the current detected marker and the board layout, the function interpolates
- the position of the missing markers. Then it tries to find correspondence between the reprojected
- markers and the rejected candidates based on the minRepDistance and errorCorrectionRate parameters.
- If camera parameters and distortion coefficients are provided, missing markers are reprojected
- using projectPoint function. If not, missing marker projections are interpolated using global
- homography, and all the marker corners in the board must have the same Z coordinate.</dd>
- </dl>
- </li>
- </ul>
- <a name="refineDetectedMarkers-org.opencv.core.Mat-org.opencv.objdetect.Board-java.util.List-org.opencv.core.Mat-java.util.List-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>refineDetectedMarkers</h4>
- <pre>public void refineDetectedMarkers(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/objdetect/Board.html" title="class in org.opencv.objdetect">Board</a> board,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> detectedCorners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> detectedIds,
- java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> rejectedCorners,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cameraMatrix,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> distCoeffs,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> recoveredIdxs)</pre>
- <div class="block">Refine not detected markers based on the already detected and the board layout</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - input image</dd>
- <dd><code>board</code> - layout of markers in the board.</dd>
- <dd><code>detectedCorners</code> - vector of already detected marker corners.</dd>
- <dd><code>detectedIds</code> - vector of already detected marker identifiers.</dd>
- <dd><code>rejectedCorners</code> - vector of rejected candidates during the marker detection process.</dd>
- <dd><code>cameraMatrix</code> - optional input 3x3 floating-point camera matrix
- \(A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\)</dd>
- <dd><code>distCoeffs</code> - optional vector of distortion coefficients
- \((k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6],[s_1, s_2, s_3, s_4]])\) of 4, 5, 8 or 12 elements</dd>
- <dd><code>recoveredIdxs</code> - Optional array to returns the indexes of the recovered candidates in the
- original rejectedCorners array.
- This function tries to find markers that were not detected in the basic detecMarkers function.
- First, based on the current detected marker and the board layout, the function interpolates
- the position of the missing markers. Then it tries to find correspondence between the reprojected
- markers and the rejected candidates based on the minRepDistance and errorCorrectionRate parameters.
- If camera parameters and distortion coefficients are provided, missing markers are reprojected
- using projectPoint function. If not, missing marker projections are interpolated using global
- homography, and all the marker corners in the board must have the same Z coordinate.</dd>
- </dl>
- </li>
- </ul>
- <a name="setDetectorParameters-org.opencv.objdetect.DetectorParameters-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>setDetectorParameters</h4>
- <pre>public void setDetectorParameters(<a href="../../../org/opencv/objdetect/DetectorParameters.html" title="class in org.opencv.objdetect">DetectorParameters</a> detectorParameters)</pre>
- </li>
- </ul>
- <a name="setDictionary-org.opencv.objdetect.Dictionary-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>setDictionary</h4>
- <pre>public void setDictionary(<a href="../../../org/opencv/objdetect/Dictionary.html" title="class in org.opencv.objdetect">Dictionary</a> dictionary)</pre>
- </li>
- </ul>
- <a name="setRefineParameters-org.opencv.objdetect.RefineParameters-">
- <!-- -->
- </a>
- <ul class="blockListLast">
- <li class="blockList">
- <h4>setRefineParameters</h4>
- <pre>public void setRefineParameters(<a href="../../../org/opencv/objdetect/RefineParameters.html" title="class in org.opencv.objdetect">RefineParameters</a> refineParameters)</pre>
- </li>
- </ul>
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