Howtosignalprocessing
- What is corner detection using Harris?
- Which is better Harris corner detection or fast corner detection?
- What are the disadvantages of Harris corner detector?
What is corner detection using Harris?
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.
Which is better Harris corner detection or fast corner detection?
FAST detector has better than Shi-Tomasi & Harris in detecting precise and actual corners-points . Shi-Tomasi corner detection is more stronger to noise than FAST & Harris. in each type of noise (Gaussian, salt&pepper and speckle ) one of the aforementioned algorithms was the best than other .
What are the disadvantages of Harris corner detector?
In comparison, Harris corner detection is widely used, and the calculation results are stable. However, there are also many shortcomings, such as the need to manually set the threshold, false corners, corner clusters, inaccurate corner positioning, and low detection efficiency.
