2.3 KiB
2D Features framework (feature2d module)
Learn about how to use the feature points detectors, descriptors and matching framework found inside OpenCV.
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@subpage tutorial_harris_detector
Compatibility: > OpenCV 2.0
Author: Ana Huamán
Why is it a good idea to track corners? We learn to use the Harris method to detect corners
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@subpage tutorial_good_features_to_track
Compatibility: > OpenCV 2.0
Author: Ana Huamán
Where we use an improved method to detect corners more accuratelyI
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@subpage tutorial_generic_corner_detector
Compatibility: > OpenCV 2.0
Author: Ana Huamán
Here you will learn how to use OpenCV functions to make your personalized corner detector!
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@subpage tutorial_corner_subpixeles
Compatibility: > OpenCV 2.0
Author: Ana Huamán
Is pixel resolution enough? Here we learn a simple method to improve our accuracy.
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@subpage tutorial_feature_detection
Compatibility: > OpenCV 2.0
Author: Ana Huamán
In this tutorial, you will use features2d to detect interest points.
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@subpage tutorial_feature_description
Compatibility: > OpenCV 2.0
Author: Ana Huamán
In this tutorial, you will use features2d to calculate feature vectors.
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@subpage tutorial_feature_flann_matcher
Compatibility: > OpenCV 2.0
Author: Ana Huamán
In this tutorial, you will use the FLANN library to make a fast matching.
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@subpage tutorial_feature_homography
Compatibility: > OpenCV 2.0
Author: Ana Huamán
In this tutorial, you will use features2d and calib3d to detect an object in a scene.
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@subpage tutorial_detection_of_planar_objects
Compatibility: > OpenCV 2.0
Author: Victor Eruhimov
You will use features2d and calib3d modules for detecting known planar objects in scenes.
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@subpage tutorial_akaze_matching
Compatibility: > OpenCV 3.0
Author: Fedor Morozov
Using AKAZE local features to find correspondence between two images.
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@subpage tutorial_akaze_tracking
Compatibility: > OpenCV 3.0
Author: Fedor Morozov
Using AKAZE and ORB for planar object tracking.