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ACS v3 1차 최종 버전.
2025-05-20 14:21:24 +09:00
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<h2 title="Class BFMatcher" class="title">Class BFMatcher</h2>
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<li>java.lang.Object</li>
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<li>org.opencv.features2d.BFMatcher</li>
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<pre>public class <span class="typeNameLabel">BFMatcher</span>
extends <a href="../../../org/opencv/features2d/DescriptorMatcher.html" title="class in org.opencv.features2d">DescriptorMatcher</a></pre>
<div class="block">Brute-force descriptor matcher.
For each descriptor in the first set, this matcher finds the closest descriptor in the second set
by trying each one. This descriptor matcher supports masking permissible matches of descriptor
sets.</div>
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<h3>Fields inherited from class&nbsp;org.opencv.features2d.<a href="../../../org/opencv/features2d/DescriptorMatcher.html" title="class in org.opencv.features2d">DescriptorMatcher</a></h3>
<code><a href="../../../org/opencv/features2d/DescriptorMatcher.html#BRUTEFORCE">BRUTEFORCE</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#BRUTEFORCE_HAMMING">BRUTEFORCE_HAMMING</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#BRUTEFORCE_HAMMINGLUT">BRUTEFORCE_HAMMINGLUT</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#BRUTEFORCE_L1">BRUTEFORCE_L1</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#BRUTEFORCE_SL2">BRUTEFORCE_SL2</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#FLANNBASED">FLANNBASED</a></code></li>
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<th class="colOne" scope="col">Constructor and Description</th>
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<td class="colOne"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/BFMatcher.html#BFMatcher--">BFMatcher</a></span>()</code>
<div class="block">Brute-force matcher constructor (obsolete).</div>
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<td class="colOne"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/BFMatcher.html#BFMatcher-int-">BFMatcher</a></span>(int&nbsp;normType)</code>
<div class="block">Brute-force matcher constructor (obsolete).</div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/BFMatcher.html#BFMatcher-int-boolean-">BFMatcher</a></span>(int&nbsp;normType,
boolean&nbsp;crossCheck)</code>
<div class="block">Brute-force matcher constructor (obsolete).</div>
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<td class="colFirst"><code>static <a href="../../../org/opencv/features2d/BFMatcher.html" title="class in org.opencv.features2d">BFMatcher</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/BFMatcher.html#Z:Z__fromPtr__-long-">__fromPtr__</a></span>(long&nbsp;addr)</code>&nbsp;</td>
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<tr id="i1" class="rowColor">
<td class="colFirst"><code>static <a href="../../../org/opencv/features2d/BFMatcher.html" title="class in org.opencv.features2d">BFMatcher</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/BFMatcher.html#create--">create</a></span>()</code>
<div class="block">Brute-force matcher create method.</div>
</td>
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<tr id="i2" class="altColor">
<td class="colFirst"><code>static <a href="../../../org/opencv/features2d/BFMatcher.html" title="class in org.opencv.features2d">BFMatcher</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/BFMatcher.html#create-int-">create</a></span>(int&nbsp;normType)</code>
<div class="block">Brute-force matcher create method.</div>
</td>
</tr>
<tr id="i3" class="rowColor">
<td class="colFirst"><code>static <a href="../../../org/opencv/features2d/BFMatcher.html" title="class in org.opencv.features2d">BFMatcher</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/features2d/BFMatcher.html#create-int-boolean-">create</a></span>(int&nbsp;normType,
boolean&nbsp;crossCheck)</code>
<div class="block">Brute-force matcher create method.</div>
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<h3>Methods inherited from class&nbsp;org.opencv.features2d.<a href="../../../org/opencv/features2d/DescriptorMatcher.html" title="class in org.opencv.features2d">DescriptorMatcher</a></h3>
<code><a href="../../../org/opencv/features2d/DescriptorMatcher.html#add-java.util.List-">add</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#clear--">clear</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#clone--">clone</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#clone-boolean-">clone</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#create-java.lang.String-">create</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#empty--">empty</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#getTrainDescriptors--">getTrainDescriptors</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#isMaskSupported--">isMaskSupported</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#knnMatch-org.opencv.core.Mat-java.util.List-int-">knnMatch</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#knnMatch-org.opencv.core.Mat-java.util.List-int-java.util.List-">knnMatch</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#knnMatch-org.opencv.core.Mat-java.util.List-int-java.util.List-boolean-">knnMatch</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#knnMatch-org.opencv.core.Mat-org.opencv.core.Mat-java.util.List-int-">knnMatch</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#knnMatch-org.opencv.core.Mat-org.opencv.core.Mat-java.util.List-int-org.opencv.core.Mat-">knnMatch</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#knnMatch-org.opencv.core.Mat-org.opencv.core.Mat-java.util.List-int-org.opencv.core.Mat-boolean-">knnMatch</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#match-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfDMatch-">match</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#match-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfDMatch-org.opencv.core.Mat-">match</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#match-org.opencv.core.Mat-org.opencv.core.MatOfDMatch-">match</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#match-org.opencv.core.Mat-org.opencv.core.MatOfDMatch-java.util.List-">match</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#radiusMatch-org.opencv.core.Mat-java.util.List-float-">radiusMatch</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#radiusMatch-org.opencv.core.Mat-java.util.List-float-java.util.List-">radiusMatch</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#radiusMatch-org.opencv.core.Mat-java.util.List-float-java.util.List-boolean-">radiusMatch</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#radiusMatch-org.opencv.core.Mat-org.opencv.core.Mat-java.util.List-float-">radiusMatch</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#radiusMatch-org.opencv.core.Mat-org.opencv.core.Mat-java.util.List-float-org.opencv.core.Mat-">radiusMatch</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#radiusMatch-org.opencv.core.Mat-org.opencv.core.Mat-java.util.List-float-org.opencv.core.Mat-boolean-">radiusMatch</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#read-java.lang.String-">read</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#train--">train</a>, <a href="../../../org/opencv/features2d/DescriptorMatcher.html#write-java.lang.String-">write</a></code></li>
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<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>
<code><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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<h4>BFMatcher</h4>
<pre>public&nbsp;BFMatcher()</pre>
<div class="block">Brute-force matcher constructor (obsolete). Please use BFMatcher.create()</div>
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<h4>BFMatcher</h4>
<pre>public&nbsp;BFMatcher(int&nbsp;normType)</pre>
<div class="block">Brute-force matcher constructor (obsolete). Please use BFMatcher.create()</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>normType</code> - automatically generated</dd>
</dl>
</li>
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<a name="BFMatcher-int-boolean-">
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<h4>BFMatcher</h4>
<pre>public&nbsp;BFMatcher(int&nbsp;normType,
boolean&nbsp;crossCheck)</pre>
<div class="block">Brute-force matcher constructor (obsolete). Please use BFMatcher.create()</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>normType</code> - automatically generated</dd>
<dd><code>crossCheck</code> - automatically generated</dd>
</dl>
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<h4>__fromPtr__</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/features2d/BFMatcher.html" title="class in org.opencv.features2d">BFMatcher</a>&nbsp;__fromPtr__(long&nbsp;addr)</pre>
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<h4>create</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/features2d/BFMatcher.html" title="class in org.opencv.features2d">BFMatcher</a>&nbsp;create()</pre>
<div class="block">Brute-force matcher create method.
preferable choices for SIFT and SURF descriptors, NORM_HAMMING should be used with ORB, BRISK and
BRIEF, NORM_HAMMING2 should be used with ORB when WTA_K==3 or 4 (see ORB::ORB constructor
description).
nearest neighbors for each query descriptor. If crossCheck==true, then the knnMatch() method with
k=1 will only return pairs (i,j) such that for i-th query descriptor the j-th descriptor in the
matcher's collection is the nearest and vice versa, i.e. the BFMatcher will only return consistent
pairs. Such technique usually produces best results with minimal number of outliers when there are
enough matches. This is alternative to the ratio test, used by D. Lowe in SIFT paper.</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
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<h4>create</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/features2d/BFMatcher.html" title="class in org.opencv.features2d">BFMatcher</a>&nbsp;create(int&nbsp;normType)</pre>
<div class="block">Brute-force matcher create method.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>normType</code> - One of NORM_L1, NORM_L2, NORM_HAMMING, NORM_HAMMING2. L1 and L2 norms are
preferable choices for SIFT and SURF descriptors, NORM_HAMMING should be used with ORB, BRISK and
BRIEF, NORM_HAMMING2 should be used with ORB when WTA_K==3 or 4 (see ORB::ORB constructor
description).
nearest neighbors for each query descriptor. If crossCheck==true, then the knnMatch() method with
k=1 will only return pairs (i,j) such that for i-th query descriptor the j-th descriptor in the
matcher's collection is the nearest and vice versa, i.e. the BFMatcher will only return consistent
pairs. Such technique usually produces best results with minimal number of outliers when there are
enough matches. This is alternative to the ratio test, used by D. Lowe in SIFT paper.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
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<h4>create</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/features2d/BFMatcher.html" title="class in org.opencv.features2d">BFMatcher</a>&nbsp;create(int&nbsp;normType,
boolean&nbsp;crossCheck)</pre>
<div class="block">Brute-force matcher create method.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>normType</code> - One of NORM_L1, NORM_L2, NORM_HAMMING, NORM_HAMMING2. L1 and L2 norms are
preferable choices for SIFT and SURF descriptors, NORM_HAMMING should be used with ORB, BRISK and
BRIEF, NORM_HAMMING2 should be used with ORB when WTA_K==3 or 4 (see ORB::ORB constructor
description).</dd>
<dd><code>crossCheck</code> - If it is false, this is will be default BFMatcher behaviour when it finds the k
nearest neighbors for each query descriptor. If crossCheck==true, then the knnMatch() method with
k=1 will only return pairs (i,j) such that for i-th query descriptor the j-th descriptor in the
matcher's collection is the nearest and vice versa, i.e. the BFMatcher will only return consistent
pairs. Such technique usually produces best results with minimal number of outliers when there are
enough matches. This is alternative to the ratio test, used by D. Lowe in SIFT paper.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
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<p class="legalCopy"><small>Generated on 2021-12-25 08:13:27 / OpenCV 4.5.5</small></p>
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