Stereo correspondence using GA-based segmentation

Keechul Jung; Jung Hyun Han

doi:10.1007/3-540-44491-2_73

Stereo correspondence using GA-based segmentation

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Intelligent Data Engineering and Automated Learning - IDEAL 2000
Subtitle of host publication	Data Mining, Financial Engineering, and Intelligent Agents - 2nd International Conference, Proceedings
Editors	Kwong Sak Leung, Lai-Wan Chan, Helen Meng
Publisher	Springer Verlag
Pages	497-502
Number of pages	6
ISBN (Print)	3540414509, 9783540414506
DOIs	https://doi.org/10.1007/3-540-44491-2_73
Publication status	Published - 2000
Externally published	Yes
Event	2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000 - Shatin, N.T., Hong Kong Duration: 2000 Dec 13 → 2000 Dec 15

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1983
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000
Country/Territory	Hong Kong
City	Shatin, N.T.
Period	00/12/13 → 00/12/15

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2000.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-44491-2_73

Cite this

Jung, K., & Han, J. H. (2000). Stereo correspondence using GA-based segmentation. In K. S. Leung, L.-W. Chan, & H. Meng (Eds.), Intelligent Data Engineering and Automated Learning - IDEAL 2000: Data Mining, Financial Engineering, and Intelligent Agents - 2nd International Conference, Proceedings (pp. 497-502). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1983). Springer Verlag. https://doi.org/10.1007/3-540-44491-2_73

Stereo correspondence using GA-based segmentation. / Jung, Keechul; Han, Jung Hyun.
Intelligent Data Engineering and Automated Learning - IDEAL 2000: Data Mining, Financial Engineering, and Intelligent Agents - 2nd International Conference, Proceedings. ed. / Kwong Sak Leung; Lai-Wan Chan; Helen Meng. Springer Verlag, 2000. p. 497-502 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1983).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jung, K & Han, JH 2000, Stereo correspondence using GA-based segmentation. in KS Leung, L-W Chan & H Meng (eds), Intelligent Data Engineering and Automated Learning - IDEAL 2000: Data Mining, Financial Engineering, and Intelligent Agents - 2nd International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1983, Springer Verlag, pp. 497-502, 2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000, Shatin, N.T., Hong Kong, 00/12/13. https://doi.org/10.1007/3-540-44491-2_73

Jung K, Han JH. Stereo correspondence using GA-based segmentation. In Leung KS, Chan LW, Meng H, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2000: Data Mining, Financial Engineering, and Intelligent Agents - 2nd International Conference, Proceedings. Springer Verlag. 2000. p. 497-502. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-44491-2_73

Jung, Keechul ; Han, Jung Hyun. / Stereo correspondence using GA-based segmentation. Intelligent Data Engineering and Automated Learning - IDEAL 2000: Data Mining, Financial Engineering, and Intelligent Agents - 2nd International Conference, Proceedings. editor / Kwong Sak Leung ; Lai-Wan Chan ; Helen Meng. Springer Verlag, 2000. pp. 497-502 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Stereo correspondence using GA-based segmentation

Abstract

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Bibliographical note

ASJC Scopus subject areas

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