Corner Detection Based on Eigenvalues product of Covariance Matrices over Edges

被引：0

作者：

Zhu, Qingsheng ^{[1
]}

Wang, Yanxia ^{[1
]}

Liu, Huijun ^{[1
]}

机构：

[1] Chongqing Univ, Coll Comp, Chongqing, Peoples R China

来源：

2009 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION SYSTEMS AND APPLICATIONS, PROCEEDINGS | 2009年

关键词：

Corner detection; Covariance matrix; Eigenvalues product; Region of support; SCALE-SPACE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：131 / 134

页数：4

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