Cost-volume filtering-based stereo matching with improved matching cost and secondary refinement

Jianbo Jiao, Ronggang Wang, Wenmin Wang, Shengfu Dong, Zhenyu Wang, Wen Gao

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

5 Citations (Scopus)

Abstract

Recent cost-volume filtering-based local stereo methods have achieved comparable accuracy with global methods. However, there are still some significant outliers existing in the final disparity map. In this paper, we propose a cost-volume filtering-based local stereo matching method that employs a new combined cost and a novel secondary disparity refinement mechanism. The combined cost is formulated by a modified color census transform, truncated absolute differences of color and gradients. Symmetric guided filter is used for the cost aggregation. Different from traditional stereo matching, a novel secondary disparity refinement is proposed to further remove remaining outliers. Experimental results on Mid-dlebury benchmark show that our method ranks the 5th out of the 144 submitted methods, and is the best cost-volume filtering-based local method. Furthermore, experiments on real world sequences also validate the effectiveness of our proposed method.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Multimedia and Expo (ICME)
PublisherIEEE
Number of pages6
ISBN (Electronic)9781479947614
DOIs
Publication statusPublished - 8 Sept 2014
Event2014 IEEE International Conference on Multimedia and Expo, ICME 2014 - Chengdu, China
Duration: 14 Jul 201418 Jul 2014

Publication series

NameProceedings - IEEE International Conference on Multimedia and Expo
PublisherIEEE
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X

Conference

Conference2014 IEEE International Conference on Multimedia and Expo, ICME 2014
Country/TerritoryChina
CityChengdu
Period14/07/1418/07/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • cost-volume filtering
  • disparity refinement
  • Local stereo
  • matching cost

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Cost-volume filtering-based stereo matching with improved matching cost and secondary refinement'. Together they form a unique fingerprint.

Cite this