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Stereo matching using pixel classification and dual-weighted guided filter

  • Harbin Institute of Technology

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

Abstract

Finding the subjectively correct binocular disparity of a stereopair has long been a challenging issue for researchers. A coarse-to-fine algorithm is presented in this article for seeking to a more reasonable solution to this issue. We focus on the disparity computation other than disparity refinement and post-processing procedures. Dual-weighted guided filter or a simplified guided image filter with dual-weights is proposed to boost computation efficiency and reduce matching ambiguity. Perceived as a classification step, a normalized cross-correlation based method aims for searching for reliable matching candidates. Three channels in RGB colour space are biologically weighted for subjectively rational correspondence. As comparative experimental results show, the proposed method performs excellently without post-processing. All the algorithms are tested on Middlebury stereopsis benchmark.

Original languageEnglish
Title of host publication2015 IEEE 12th International Conference on Electronic Measurement and Instruments, ICEMI 2015
EditorsCui Jianping, Wu Juan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages651-655
Number of pages5
ISBN (Electronic)9781479976195
DOIs
StatePublished - 16 Jun 2016
Event12th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2015 - Qingdao, China
Duration: 16 Jul 201518 Jul 2015

Publication series

Name2015 IEEE 12th International Conference on Electronic Measurement and Instruments, ICEMI 2015
Volume2

Conference

Conference12th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2015
Country/TerritoryChina
CityQingdao
Period16/07/1518/07/15

Keywords

  • binocular stereo matching
  • dual-weighted guided filter
  • pixel similarity
  • regional similarity

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