Learn about how to use the feature points detectors, descriptors and matching framework found inside OpenCV.
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Title: Harris corner 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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Title: Shi-Tomasi corner detector Compatibility: > OpenCV 2.0 Author: Ana Huamán Where we use an improved method to detect corners more accuratelyI |
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Title: Creating yor own 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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Title: Detecting corners location in 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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Title: Feature Detection Compatibility: > OpenCV 2.0 Author: Ana Huamán In this tutorial, you will use features2d to detect interest points. |
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Title: Feature Description Compatibility: > OpenCV 2.0 Author: Ana Huamán In this tutorial, you will use features2d to calculate feature vectors. |
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Title: Feature Matching with FLANN 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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Title: Features2D + Homography to find a known object 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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Title: 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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Title: AKAZE local features matching Compatibility: > OpenCV 3.0 Author: Fedor Morozov Using AKAZE local features to find correspondence between two images. |
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Title: AKAZE and ORB planar tracking Compatibility: > OpenCV 3.0 Author: Fedor Morozov Using AKAZE and ORB for planar object tracking. |
