- What is the corner according to the Harris corner detector algorithm?
- What makes the Harris corner detector effective?
- How is the fast detector different from the Harris corner detector?
- What is an advantage of the Shi Tomasi detector over the Harris detector?
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.
What makes the 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.
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.
What is an advantage of the Shi Tomasi detector over the Harris detector?
In addition, Shi-Tomasi corner detection performs in more flexible ways than Harris & FAST in noisy environments, in other words Shi-Tomasi is more powerful to noise than Harris & FAST .