An area-based stereo matching using adaptive search range and window size

Han Suh Koo, Chang Sung Jeong

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

    8 Citations (Scopus)

    Abstract

    In area-based stereo matching algorithm, the proper determination of search range and window size are two important factors to improve the overall performance of the algorithm. In this paper we present a novel technique for area-based stereo matching algorithm which provides more accurate and error-prone matching capabilities by using adaptive search range and window size. We propose two new strategies (1) for determining search range adaptively from the disparity map and multiresolutional images of region segments obtained by applying feature-based algorithm, and (2) for changing the window size adaptively according to the edge information derived from the wavelet transform such that the combination of two adaptive methods in search range and window size greatly enhances accuracy while reducing errors. We test our matching algorithms for various types of images, and shall show the outperformance of our stereo matching algorithm.

    Original languageEnglish
    Title of host publicationComputational Science – ICCS 2001 - International Conference, Proceedings
    EditorsVassil N. Alexandrov, Jack J. Dongarra, Benjoe A. Juliano, Rene S. Renner, C.J. Kenneth Tan
    PublisherSpringer Verlag
    Pages44-53
    Number of pages10
    ISBN (Print)3540422331, 9783540422334
    DOIs
    Publication statusPublished - 2001
    EventInternational Conference on Computational Science, ICCS 2001 - San Francisco, United States
    Duration: 2001 May 282001 May 30

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2074
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    OtherInternational Conference on Computational Science, ICCS 2001
    Country/TerritoryUnited States
    CitySan Francisco
    Period01/5/2801/5/30

    Bibliographical note

    Publisher Copyright:
    © Springer-Verlag Berlin Heidelberg 2001.

    Keywords

    • Image processing
    • Stereo vision
    • Visualization

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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