Corner Detection Based on Eigenvalues product of Covariance Matrices over Edges
نویسندگان
چکیده
In this paper we present a corner detection which makes use of eigenvalues of covariance matrices of different support regions over edge points. Edges are first extracted through the use of Canny edge detection, and then determine corners according to eigenvalues product of covariance matrices of the edge at various regions of support. Experimental results show that the proposed method has more robustness for noise and various geometrical transform.
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