- How does a Harris corner detector work?
- What is the Harris corner detector commonly used for?
- How is the fast detector different from the Harris corner detector?
How does a Harris corner detector work?
The Harris corner detector works by taking horizontal and vertical derivatives of the image and looking for areas where both are high, this is quantified by the Harris corner descriptor which is defined in our case as the matrix �and the descriptor is .
What is the Harris corner detector commonly used for?
The Harris corner detector is a corner detection operator that is commonly used in computer vision algorithms to extract corners and infer features of an image. It was first introduced by Chris Harris and Mike Stephens in 1988 upon the improvement of Moravec's corner detector.
How is the fast detector different from the Harris corner detector?
The Harris algorithm uses more hardware resources than the FAST algorithm but can detect corners that the FAST algorithm might not find.