Non-parametric adaptive region of support useful for corner detection: a novel approach

被引：29

作者：

Guru, DS ^{[1
]}

Dinesh, R ^{[1
]}

机构：

[1] Univ Mysore, Dept Studies Comp Sci, Mysore 570006, Karnataka, India

来源：

PATTERN RECOGNITION | 2004年 / 37卷 / 01期

关键词：

small eigenvalue analysis; region of support; curvature estimation; corner detection;

D O I：

10.1016/S0031-3203(03)00234-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel model for the determination of precise region of support of a point useful for corner detection is proposed in this paper. The proposed model, unlike other existing models is non-parametric and determines adaptive region of support dynamically. The experimental results reveal that the proposed method outperforms the existing corner detection methods and is invariant to image transformations too. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

引用

页码：165 / 168

页数：4

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