A color-based approach for disparity refinement

Raj Kumar Gupta, Siu Yeung Cho

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

3 Citations (Scopus)

Abstract

We present a new disparity refinement algorithm that utilize color information of the reference image to generate sharp disparity maps. While existing methods use iterative approaches or require multiple disparity maps, the proposed algorithm uses a single pass approach to reduce errors at depth discontinuities. The experimental results are evaluated on the Middlebury benchmark dataset; show the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publication11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
Pages664-667
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 - Singapore, Singapore
Duration: 7 Dec 201010 Dec 2010

Publication series

Name11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010

Conference

Conference11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
Country/TerritorySingapore
CitySingapore
Period7/12/1010/12/10

Keywords

  • Disparity refinement
  • Stereo correspondence
  • Window-based

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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