A new approach to image feature detection with applications

被引：77

作者：

Manjunath, BS ^{[1
]}

Shekhar, C ^{[1
]}

Chellappa, R ^{[1
]}

机构：

[1] UNIV MARYLAND, CTR AUTOMAT RES, COLLEGE PK, MD 20742 USA

来源：

PATTERN RECOGNITION | 1996年 / 29卷 / 04期

关键词：

face recognition; feature detection; Gabor filters; image registration; motion tracking;

D O I：

10.1016/0031-3203(95)00115-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Image feature detection is a fundamental issue in many intermediate level vision problems such as stereo, motion correspondence, image registration and object recognition. In this paper we present an approach to feature detection based on a scale-interaction model. This feature detector is responsive to short lines, line endings, corners and other such sharp changes in curvature. We provide extensive experimental results to demonstrate its potential applications to several image analysis problems.

引用

页码：627 / 640

页数：14

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