July 2017
Intermediate to advanced
382 pages
9h 13m
English
Content preview from Machine Learning for OpenCV
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Detecting corners in images
One of the most straightforward features to find in an image are probably corners. OpenCV provides at least two different algorithms to find corners in an image:
- Harris corner detection: Knowing that edges are areas with high-intensity changes in all directions, Harris and Stephens came up with a fast way of finding such areas. This algorithm is implemented as cv2.cornerHarris in OpenCV.
- Shi-Tomasi corner detection: Shi and Tomasi have their own idea of what are good features to track, and they usually do better than Harris corner detection by finding the N strongest corners. This algorithm is implemented as cv2.goodFeaturesToTrack in OpenCV.
Harris corner detection works only on grayscale images, so we first ...
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