Disparity refinement with stability-based tree for stereo matching

Yuhang Ji, Qieshi Zhang, Kenjiro Sugimoto, Seiichiro Kamata

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

4 Citations (Scopus)


This paper proposes a disparity refinement method with stability-based tree. By developing stability-based tree to evaluate and reconstruct support regions for error parts, the proposed method achieves effective performance in removing outliers. This approach further improves the quality of raw disparity map in stereo matching, which makes the local methods results comparable to the global ones. Experiments exhibit that the proposed method reduces more than 70% aggregation time compared with traditional tree method without loss of accuracy. It also outperforms existing disparity refinement methods in removing large error parts.

Original languageEnglish
Title of host publicationIEEE Intelligent Vehicles Symposium, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)9781467372664
Publication statusPublished - 2015 Aug 26
EventIEEE Intelligent Vehicles Symposium, IV 2015 - Seoul, Korea, Republic of
Duration: 2015 Jun 282015 Jul 1


OtherIEEE Intelligent Vehicles Symposium, IV 2015
Country/TerritoryKorea, Republic of

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Modelling and Simulation


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