- How does Harris corner detection work?
- What is the corner according to the Harris corner detector algorithm?
- Why is Harris corner detector effective?
How does Harris corner detection 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 corner according to the Harris corner detector algorithm?
A corner is a point whose local neighborhood stands in two dominant and different edge directions. In other words, a corner can be interpreted as the junction of two edges, where an edge is a sudden change in image brightness.
Why is Harris corner detector effective?
Compared to the previous one, Harris' corner detector takes the differential of the corner score into account with reference to direction directly, instead of using shifting patches for every 45-degree angles, and has been proved to be more accurate in distinguishing between edges and corners.