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

6 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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages44-53
Number of pages10
Volume2074
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)03029743
ISSN (Electronic)16113349

Other

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

Keywords

  • Image processing
  • Stereo vision
  • Visualization

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Koo, H. S., & Jeong, C-S. (2001). An area-based stereo matching using adaptive search range and window size. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2074, pp. 44-53). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2074). Springer Verlag. https://doi.org/10.1007/3-540-45718-6_6