Doxygen tutorials: support contrib, some minor changes
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@@ -244,7 +244,7 @@ Here is explained in detail the code for the real time application:
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extraction. You can find it in
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`samples/cpp/tutorial_code/calib3d/real_time_pose_estimation/src/RobusMatcher.cpp`. In your
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*RobusMatch* object you can use any of the 2D features detectors of OpenCV. In this case I used
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@ref cv::ORB features because is based on @ref cv::FAST to detect the keypoints and @ref cv::xfeatures2d::BriefDescriptorExtractor
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@ref cv::ORB features because is based on @ref cv::FAST to detect the keypoints and cv::xfeatures2d::BriefDescriptorExtractor
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to extract the descriptors which means that is fast and robust to rotations. You can find more
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detailed information about *ORB* in the documentation.
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