SUSAN window based cost calculation for fast stereo matching

Kyu Yeol Chae, Won Pyo Dong, Chang Sung Jeong

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

3 Citations (Scopus)

Abstract

This paper presents a fast stereo matching algorithm using SUSAN window. The response of SUSAN window is used to calculate the dissimilarity cost. From this dissimilarity cost, an initial match can be found. Then, with this initial match, a dynamic programming algorithm searches for the best path of two scan lines. Since the proposed dissimilarity cost calculation method is very simple, and does not make use of any complicated mathematic formula, its running time is almost as same as SAD in the fixed window. In addition, the proposed matching algorithm only has two control parameters, bright threshold and occlusion penalty, which make it to be easily optimized.

Original languageEnglish
Title of host publicationComputational Intelligence and Security - International Conference, CIS 2005, Proceedings
Pages947-952
Number of pages6
DOIs
Publication statusPublished - 2005
EventInternational Conference on Computational Intelligence and Security, CIS 2005 - Xi'an, China
Duration: 2005 Dec 152005 Dec 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3802 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Computational Intelligence and Security, CIS 2005
CountryChina
CityXi'an
Period05/12/1505/12/19

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Chae, K. Y., Dong, W. P., & Jeong, C. S. (2005). SUSAN window based cost calculation for fast stereo matching. In Computational Intelligence and Security - International Conference, CIS 2005, Proceedings (pp. 947-952). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3802 LNAI). https://doi.org/10.1007/11596981_140