Computer Vision and Deep Learning -Part 4

FAST will not perform well where detection of multiple features has to be performed in same region of an image. For this Non-Maximum Suppression is used. In Non-Maximum Suppression a score function is computed, V for all the detected feature points. In a nut shell, FAST is faster than many existing feature detectors but performs poorly in presence of high level of noise. Mainly because the pixel values will be altered because of high-level of noise. Opencv documentation mentions two feature matching methods.