Comparison and Study of Classic Feature Point Detection Algorithm

Detection base on feature points contains the characteristics of the whole image, this method is widely used in the field of computer vision. Several popular feature points detection algorithms are discussed, including SIFT feature points detection method and the corner detection methods like Forstner, Harris and SUSAN. In this paper, SIFT, Forstner, Harris and SUSAN are compared by a number of experiments that the invariance to scale, rotation and illumination and the anti-noise ability to Gaussian. We can compare the resules of feature point extraction and analysis of the stability and anti-noise ability of the feature point extraction algorithm on image.