A stereo matching using variable windows and dynamic programming

Won Pyo Dong; Yun Seok Lee; Chang Sung Jeong

doi:10.1007/11589990_186

A stereo matching using variable windows and dynamic programming

Won Pyo Dong, Yun Seok Lee, Chang Sung Jeong

School of Electrical Engineering

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

1 Citation (Scopus)

Abstract

In this paper, we present a segment-based stereo matching algorithm using adaptive variable windows and dynamic programming with a robust disparity. We solve the problem of window shape and size using adaptive line masks and adaptive rectangular windows which are constrained by segments and visibility that reduces ambiguity produced by the occlusion in the computation window. In dynamic programming, we also propose the method that selects an efficient occlusion penalty.

Original language	English
Title of host publication	AI 2005
Subtitle of host publication	Advances in Artificial Intelligence - 18th Australian Joint Conference on Artificial Intelligence, Proceedings
Pages	1277-1280
Number of pages	4
DOIs	https://doi.org/10.1007/11589990_186
Publication status	Published - 2005
Event	18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence - Sydney, Australia Duration: 2005 Dec 5 → 2005 Dec 9

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3809 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence
Country	Australia
City	Sydney
Period	05/12/5 → 05/12/9

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/11589990_186

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Cite this

Dong, W. P., Lee, Y. S., & Jeong, C. S. (2005). A stereo matching using variable windows and dynamic programming. In AI 2005: Advances in Artificial Intelligence - 18th Australian Joint Conference on Artificial Intelligence, Proceedings (pp. 1277-1280). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3809 LNAI). https://doi.org/10.1007/11589990_186

A stereo matching using variable windows and dynamic programming. / Dong, Won Pyo; Lee, Yun Seok; Jeong, Chang Sung.

AI 2005: Advances in Artificial Intelligence - 18th Australian Joint Conference on Artificial Intelligence, Proceedings. 2005. p. 1277-1280 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3809 LNAI).

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

Dong, WP, Lee, YS & Jeong, CS 2005, A stereo matching using variable windows and dynamic programming. in AI 2005: Advances in Artificial Intelligence - 18th Australian Joint Conference on Artificial Intelligence, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3809 LNAI, pp. 1277-1280, 18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence, Sydney, Australia, 05/12/5. https://doi.org/10.1007/11589990_186

Dong WP, Lee YS, Jeong CS. A stereo matching using variable windows and dynamic programming. In AI 2005: Advances in Artificial Intelligence - 18th Australian Joint Conference on Artificial Intelligence, Proceedings. 2005. p. 1277-1280. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11589990_186

Dong, Won Pyo ; Lee, Yun Seok ; Jeong, Chang Sung. / A stereo matching using variable windows and dynamic programming. AI 2005: Advances in Artificial Intelligence - 18th Australian Joint Conference on Artificial Intelligence, Proceedings. 2005. pp. 1277-1280 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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