Comparison of several local descriptors.
There are several different local descriptors in computer vision. This repository explore a few selected popular image local descriptors on some categories of image. They are
- SIFT,
- SURF,
- ORB,
- STAR(CenSurE) with BRIEF desciptor,
- FAST
- Harris Corner, and
- Shi-Tomasi Corner.
| Preview |
|
|
|
|
|
Any contribution is welcome!
Recommended system: Ubuntu 16.04 LTS
- Python3
- OpenCV3 build with OpenCV-Contrib
pip install opencv-contrib-python
OpenCV Tutorial: https://docs.opencv.org/3.2.0/db/d27/tutorial_py_table_of_contents_feature2d.html
SIFT, SURF, ORB: https://github.com/fooock/opencv-notebooks
SIFT, Matching, Keypoint: https://github.com/igorrendulic/OpenCVSift/blob/master/sift_example.ipynb
Harris Corner Detection: https://github.com/keho98/python-cv-scratchpad/blob/master/Local%20Image%20Descriptors.ipynb
Matching: http://vgg.fiit.stuba.sk/2015-02/local-descriptors-in-opencv/