Segment-based stereo matching using energy-based regularization

Dongbo Min, Sangun Yoon, Kwanghoon Sohn

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

2 Citations (Scopus)

Abstract

We propose a new stereo matching algorithm through energy-based regularization using color segmentation and visibility constraint. Plane parameters in the entire segments are modeled by robust least square algorithm, which is LM edS method. Then, plane parameter assignment is performed by the cost function penalized for occlusion, iteratively. Finally, disparity regularization which considers the smoothness between the segments and penalizes the occlusion through visibility constraint is performed. For occlusion and disparity estimation, we include the iterative optimization scheme in the energy-based regularization. Experimental results show that the proposed algorithm produces comparable performance to the state-of-the-arts especially in the object boundaries, un-textured regions.

Original languageEnglish
Title of host publicationMultimedia Content Representation, Classification and Security - International Workshop, MRCS 2006. Proceedings
PublisherSpringer Verlag
Pages761-768
Number of pages8
ISBN (Print)3540393927, 9783540393924
DOIs
Publication statusPublished - 2006
EventInternational Workshop on Multimedia Content Representation, Classification and Security, MRCS 2006 - Istanbul, Turkey
Duration: 2006 Sep 112006 Sep 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4105 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Workshop on Multimedia Content Representation, Classification and Security, MRCS 2006
CountryTurkey
CityIstanbul
Period06/9/1106/9/13

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Min, D., Yoon, S., & Sohn, K. (2006). Segment-based stereo matching using energy-based regularization. In Multimedia Content Representation, Classification and Security - International Workshop, MRCS 2006. Proceedings (pp. 761-768). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4105 LNCS). Springer Verlag. https://doi.org/10.1007/11848035_100