Fast Laplace-SUSAN corner detector

A novel Laplace-SUSAN corner detector is described. The original image Convolved by a Laplacian of Gaussian filter is translated to a binary or ternary image according to threshold, in which the algorithm uses the SUSAN detector to detect corners. The Laplace-SUSAN detector has excellent high-speed and location accuracy, that can perform 1. 5 times faster than Harris and 6 times faster than SUSAN and whose corner is shown to be invariant to image rotation and scale and robust across a substantial range of affine distortion, addition of noise, and change in illumination. Its fast algorithm also is provided, that can substitute all multiplicative operations with shift operations for the Laplacian of Gaussian smoothing. The Laplace-SUSAN. detector has a lot more comers than other detectors, so applied to SIFT it can perform more excellent for small object recognition.