Open Source Computer Vision Library https://opencv.org/
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 

2.9 KiB

2D Features framework (feature2d module)

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.