A fast Laplace-SUSAN comer detector
Hongmin Gao · Optical Technique · 2008
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 corners than other detectors,so applied to SIFT it can perform more excellent for small object recogni- tion.