BIPARTITE MATCHING APPROACH TO FEATURE CORRESPONDENCE IN STEREO VISION

被引：8

作者：

WU, MS ^{[1
]}

LEOU, JJ ^{[1
]}

机构：

[1] NATL CHUNG CHENG UNIV, INST COMP SCI & INFORMAT ENGN, CHIAYI 621, TAIWAN

来源：

PATTERN RECOGNITION LETTERS | 1995年 / 16卷 / 01期

关键词：

BIPARTITE MATCHING; FEATURE CORRESPONDENCE; STEREO VISION; FEATURE STABILITY;

D O I：

10.1016/0167-8655(94)00077-G

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 study, stereo correspondence (matching) between a binocular image pair is transformed into a weighted bipartite matching problem. The features used are line segments. The concept of feature stability as well as several constraints are together used to speed up the correspondence process, and a two-pass greedy algorithm is proposed to efficiently determine the approximate solution of the weighted bipartite matching problem. Some experimental results show the feasibility of the proposed approach.

引用

页码：23 / 31

页数：9

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