.. _Table-Of-Content-Feature2D: *feature2d* module. 2D Features framework ----------------------------------------------------------- Learn about how to use the feature points detectors, descriptors and matching framework found inside OpenCV. .. include:: ../../definitions/tocDefinitions.rst + .. tabularcolumns:: m{100pt} m{300pt} .. cssclass:: toctableopencv ===================== ============================================== |Harris| **Title:** :ref:`harris_detector` *Compatibility:* > OpenCV 2.0 *Author:* |Author_AnaH| Why is it a good idea to track corners? We learn to use the Harris method to detect corners ===================== ============================================== .. |Harris| image:: images/trackingmotion/Harris_Detector_Cover.jpg :height: 90pt :width: 90pt + .. tabularcolumns:: m{100pt} m{300pt} .. cssclass:: toctableopencv ===================== ============================================== |ShiTomasi| **Title:** :ref:`good_features_to_track` *Compatibility:* > OpenCV 2.0 *Author:* |Author_AnaH| Where we use an improved method to detect corners more accuratelyI ===================== ============================================== .. |ShiTomasi| image:: images/trackingmotion/Shi_Tomasi_Detector_Cover.jpg :height: 90pt :width: 90pt + .. tabularcolumns:: m{100pt} m{300pt} .. cssclass:: toctableopencv ===================== ============================================== |GenericCorner| **Title:** :ref:`generic_corner_detector` *Compatibility:* > OpenCV 2.0 *Author:* |Author_AnaH| Here you will learn how to use OpenCV functions to make your personalized corner detector! ===================== ============================================== .. |GenericCorner| image:: images/trackingmotion/Generic_Corner_Detector_Cover.jpg :height: 90pt :width: 90pt + .. tabularcolumns:: m{100pt} m{300pt} .. cssclass:: toctableopencv ===================== ============================================== |Subpixel| **Title:** :ref:`corner_subpixeles` *Compatibility:* > OpenCV 2.0 *Author:* |Author_AnaH| Is pixel resolution enough? Here we learn a simple method to improve our accuracy. ===================== ============================================== .. |Subpixel| image:: images/trackingmotion/Corner_Subpixeles_Cover.jpg :height: 90pt :width: 90pt + .. tabularcolumns:: m{100pt} m{300pt} .. cssclass:: toctableopencv ===================== ============================================== |FeatureDetect| **Title:** :ref:`feature_detection` *Compatibility:* > OpenCV 2.0 *Author:* |Author_AnaH| In this tutorial, you will use *features2d* to detect interest points. ===================== ============================================== .. |FeatureDetect| image:: images/Feature_Detection_Tutorial_Cover.jpg :height: 90pt :width: 90pt + .. tabularcolumns:: m{100pt} m{300pt} .. cssclass:: toctableopencv ===================== ============================================== |FeatureDescript| **Title:** :ref:`feature_description` *Compatibility:* > OpenCV 2.0 *Author:* |Author_AnaH| In this tutorial, you will use *features2d* to calculate feature vectors. ===================== ============================================== .. |FeatureDescript| image:: images/Feature_Description_Tutorial_Cover.jpg :height: 90pt :width: 90pt + .. tabularcolumns:: m{100pt} m{300pt} .. cssclass:: toctableopencv ===================== ============================================== |FeatureFlann| **Title:** :ref:`feature_flann_matcher` *Compatibility:* > OpenCV 2.0 *Author:* |Author_AnaH| In this tutorial, you will use the FLANN library to make a fast matching. ===================== ============================================== .. |FeatureFlann| image:: images/Feature_Flann_Matcher_Tutorial_Cover.jpg :height: 90pt :width: 90pt + .. tabularcolumns:: m{100pt} m{300pt} .. cssclass:: toctableopencv ===================== ============================================== |FeatureHomo| **Title:** :ref:`feature_homography` *Compatibility:* > OpenCV 2.0 *Author:* |Author_AnaH| In this tutorial, you will use *features2d* and *calib3d* to detect an object in a scene. ===================== ============================================== .. |FeatureHomo| image:: images/Feature_Homography_Tutorial_Cover.jpg :height: 90pt :width: 90pt + .. tabularcolumns:: m{100pt} m{300pt} .. cssclass:: toctableopencv ===================== ============================================== |DetectPlanar| **Title:** :ref:`detectionOfPlanarObjects` *Compatibility:* > OpenCV 2.0 *Author:* |Author_VictorE| You will use *features2d* and *calib3d* modules for detecting known planar objects in scenes. ===================== ============================================== .. |DetectPlanar| image:: images/detection_of_planar_objects.png :height: 90pt :width: 90pt .. raw:: latex \pagebreak .. toctree:: :hidden: ../feature_description/feature_description ../trackingmotion/harris_detector/harris_detector ../feature_flann_matcher/feature_flann_matcher ../feature_homography/feature_homography ../trackingmotion/good_features_to_track/good_features_to_track.rst ../trackingmotion/generic_corner_detector/generic_corner_detector ../trackingmotion/corner_subpixeles/corner_subpixeles ../feature_detection/feature_detection ../feature_flann_matcher/feature_flann_matcher ../feature_homography/feature_homography ../detection_of_planar_objects/detection_of_planar_objects