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copied!<p>Template matching with <code>matchTemplate</code> is not good when your object is rotated or scaled in scene.</p> <p>You should try openCV function from <code>Features2D</code> Framework. For example <code>SIFT</code> or <code>SURF</code> descriptors, and <code>FLANN</code> matcher. Also, you will need <code>findHomography</code> method.</p> <p><a href="http://docs.opencv.org/doc/tutorials/features2d/feature_homography/feature_homography.html#feature-homography">Here</a> is a good example of finding rotated object in scene.</p> <p><strong>Update:</strong></p> <p>In short, algorithm is this:</p> <ol> <li><p>Finding keypoints of your object image 1.1. Extracting descriptors from those keypoints</p></li> <li><p>Finding keypoints of your scene image 2.1 Extracting descriptors from keypoints</p></li> <li><p>Match descriptors by matcher</p></li> <li><p>Analyze your matches</p></li> </ol> <p>There are different classes of FeatureDetectors, DescriptorExtractors, and DescriptorMatches, you may read about them and choose those, that fit good for your tasks.</p> <ul> <li><a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html#featuredetector">openCV FeatureDetector</a> (steps 1 and 2 in algorithm above)</li> <li><a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_extractors.html#descriptorextractor">openCV DescriptorExtractor</a> ( steps 1.1 and 2.1 in algorithm above ) </li> <li><a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html#descriptormatcher">openCV DescriptorMatcher</a> ( step 3 in algorithm above )</li> </ul>

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