Boundary-based corner detection using eigenvalues of covariance matrices

被引：99

作者：

Tsai, DM ^{[1
]}

Hou, HT ^{[1
]}

Su, HJ ^{[1
]}

机构：

[1] Yuan Ze Univ, Dept Ind Engn, Tao Yuan, Taiwan

来源：

PATTERN RECOGNITION LETTERS | 1999年 / 20卷 / 01期

关键词：

corner detection; covariance matrices; eigenvalues; curvature;

D O I：

10.1016/S0167-8655(98)00130-5

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 new measure for corner detection based on the eigenvalues of the covariance matrix of boundary points over a small region of support. It avoids false alarms for superfluous corners on circular area. Experimental results have shown that the proposed corner detection methods using curvature measures have good detection and localization for curved objects in different rotations and with varying scale changes. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：31 / 40

页数：10

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