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doc: tutorial refactor

This commit is contained in:
Maksim Shabunin
2020-12-05 01:46:00 +03:00
parent 6fdb7aee84
commit 461e26b60b
263 changed files with 623 additions and 878 deletions
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2D Features framework (feature2d module) {#tutorial_table_of_content_features2d}
=========================================
Learn about how to use the feature points detectors, descriptors and matching framework found inside
OpenCV.
- @subpage tutorial_harris_detector
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.0
*Author:* Ana Huamán
Why is it a good idea to track corners? We learn how to use the Harris method to detect
corners.
- @subpage tutorial_good_features_to_track
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.0
*Author:* Ana Huamán
Where we use an improved method to detect corners more accurately.
- @subpage tutorial_generic_corner_detector
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.0
*Author:* Ana Huamán
Here you will learn how to use OpenCV functions to make your personalized corner detector!
*Languages:* C++, Java, Python
- @subpage tutorial_corner_subpixels
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.0
*Author:* Ana Huamán
Is pixel resolution enough? Here we learn a simple method to improve our corner location accuracy.
- @subpage tutorial_feature_detection
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.0
*Author:* Ana Huamán
In this tutorial, you will use *features2d* to detect interest points.
- @subpage tutorial_feature_description
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.0
*Author:* Ana Huamán
In this tutorial, you will use *features2d* to calculate feature vectors.
- @subpage tutorial_feature_flann_matcher
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.0
*Author:* Ana Huamán
In this tutorial, you will use the FLANN library to make a fast matching.
- @subpage tutorial_feature_homography
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.0
*Author:* Ana Huamán
In this tutorial, you will use *features2d* and *calib3d* to detect an object in a scene.
- @subpage tutorial_detection_of_planar_objects
*Languages:* C++
*Compatibility:* \> OpenCV 2.0
*Author:* Victor Eruhimov
You will use *features2d* and *calib3d* modules for detecting known planar objects in
scenes.
- @subpage tutorial_akaze_matching
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 3.0
*Author:* Fedor Morozov
Using *AKAZE* local features to find correspondence between two images.
- @subpage tutorial_akaze_tracking
*Languages:* C++
*Compatibility:* \> OpenCV 3.0
*Author:* Fedor Morozov
Using *AKAZE* and *ORB* for planar object tracking.
- @subpage tutorial_homography
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 3.0
This tutorial will explain the basic concepts of the homography with some
demonstration codes.