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

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