A stereo matching algorithm using adaptive window and search range

Han Suh Koo, Chang-Sung Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The stereo matching algorithm is a technique that analyses two or more images captured at diverse view points in order to find positions in real 3D space for the pixels of 2D image. The stereo matching methods have been used in various fields such as drawing the topographical map from aerial photograph and finding the depth information of objects in machine vision system. Nowdays, optical motion capture techniques using stereo matching algorithms are being developed for visual applications such as virtual reality or 3D graphics.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Volume1886
ISBN (Print)3540679251, 9783540679257, 9783540679257
Publication statusPublished - 2000
Event6th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000 - Melbourne, Australia
Duration: 2000 Aug 282000 Sept 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1886
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000
Country/TerritoryAustralia
CityMelbourne
Period00/8/2800/9/1

ASJC Scopus subject areas

  • General Computer Science
  • Theoretical Computer Science

Fingerprint

Dive into the research topics of 'A stereo matching algorithm using adaptive window and search range'. Together they form a unique fingerprint.

Cite this