Corner detection based on multi-scale multiplication determinant of covariance matrices
Xiaohong Zhang · Computer Engineering and Applications Journal · 2011
A corner detection algorithm based on the multi-scale multiplication of the determinant of the covariance matrix is proposed.The covariance matrix is explored upon the local support region of the planar curve.The analysis of the eigenvalue and the eigenvector of the covariance matrix proves that the determinant of the covariance matrix has the strongest response at corners by using V corner model.In order to effectively incorporate the characteristics of different scales,multi-scale multi-plication is used,which not only promotes the magnitude of the response at corners,but also suppresses the peaks of the non-corners and noises.Experimental results show that the proposed method is well localizedr,obust to noise and have good characteristic of rotation and scale invariance by comparison with the classical corner detectors.