Analysis of color space and similarity measure impact on stereo block matching

Nelson Yen Chung Chang, Yu Cheng Tseng, Tian-Sheuan Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

The impact of color space and similarity measure on complexity, speed, and performance of stereo matching is especially important to applications adopting stereo vision. This work analyzed the complexity of several most commonly considered color space and similarity measure. In addition, the execution speed and performance of color space and similarity measure combination are also compared on the same basis. The comparison result suggests that the Y-only rank provides the best combination under speed and performance trade-off.

Original languageEnglish
Title of host publicationProceedings of APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems
Pages926-929
Number of pages4
DOIs
StatePublished - 1 Dec 2008
EventAPCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems - Macao, China
Duration: 30 Nov 20083 Dec 2008

Publication series

NameIEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

Conference

ConferenceAPCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems
CountryChina
CityMacao
Period30/11/083/12/08

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