February 2020
Intermediate to advanced
372 pages
9h 26m
English
Content preview from Learning OpenCV 4 Computer Vision with Python 3 - Third Edition
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Understanding types of feature detection and matching
A number of algorithms can be used to detect and describe features, and we will explore several of them in this section. The most commonly used feature detection and descriptor extraction algorithms in OpenCV are as follows:
- Harris: This algorithm is useful for detecting corners.
- SIFT: This algorithm is useful for detecting blobs.
- SURF: This algorithm is useful for detecting blobs.
- FAST: This algorithm is useful for detecting corners.
- BRIEF: This algorithm is useful for detecting blobs.
- ORB: This algorithm stands for Oriented FAST and Rotated BRIEF. It is useful for detecting a combination of corners and blobs.
Matching features can be performed with the following methods:
- Brute-force ...