Stereo correspondence using GA-based segmentation

Keechul Jung, Junghyun Han

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

Abstract

This paper presents a new cooperative algorithm based on the integration of stereo matching and segmentation. Stereo correspondence is recovered from two stereo images with the help of a segmentation result. Using a genetic algorithm (GA)-based image segmentation, we can refine the depth map more effectively. Experimental results are presented to illustrate the performances of the proposed method.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages497-502
Number of pages6
Volume1983
ISBN (Print)3540414509, 9783540414506
Publication statusPublished - 2000
Externally publishedYes
Event2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000 - Shatin, N.T., Hong Kong
Duration: 2000 Dec 132000 Dec 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1983
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000
CountryHong Kong
CityShatin, N.T.
Period00/12/1300/12/15

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Fingerprint Dive into the research topics of 'Stereo correspondence using GA-based segmentation'. Together they form a unique fingerprint.

  • Cite this

    Jung, K., & Han, J. (2000). Stereo correspondence using GA-based segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1983, pp. 497-502). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1983). Springer Verlag.