Fast correlation-based stereo matching with the reduction of systematic errors

被引：30

作者：

Yoon, S ^{[1
]}

Park, SK ^{[1
]}

Kang, S ^{[1
]}

Kwak, YK ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Technol, Dept Mech Engn, Taejon 305701, South Korea

来源：

PATTERN RECOGNITION LETTERS | 2005年 / 26卷 / 14期

关键词：

stereo vision; dense disparity map; real time stereo; reduction of errors;

D O I：

10.1016/j.patrec.2005.03.037

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

摘要：

The purpose of this work is to develop a stereo matching algorithm that produces a dense disparity map for a real time vision system. Generally, correlation-based correspondence algorithms produce systematic errors at depth discontinuities, including half occluded areas, and require significant computational power. To solve these problems, we identify the properties of these areas containing matching errors and carry out an error compensation process with an effective implementation. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：2221 / 2231

页数：11

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