Histogram-based stereo matching under varying illumination conditions

Il Lyong Jung, Jae Young Sim, Chang-Su Kim

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

2 Citations (Scopus)

Abstract

A histogram-based matching algorithm for stereo images captured under different illumination conditions is proposed in this work. The cumulative histogram of an image represents the ranks of relative pixel brightness, which are robust to illumination changes. Therefore, we design the matching cost based on the similarity of the cumulative histograms of stereo images. As an optional mode, the proposed algorithm can evaluate the histograms for foreground objects and the background separately to alleviate occlusion artifacts. To determine the disparity of each pixel, the proposed algorithm adaptively aggregates matching costs based on the color similarity and the geometric proximity of neighboring pixels. Then, it refines false disparities at occluded pixels using more reliable disparities of non-occluded pixels. Experimental results demonstrate that the proposed algorithm provides higher quality disparity maps than the conventional methods under varying illumination conditions.

Original languageEnglish
Title of host publication2012 IEEE Visual Communications and Image Processing, VCIP 2012
DOIs
Publication statusPublished - 2012
Event2012 IEEE Visual Communications and Image Processing, VCIP 2012 - San Diego, CA, United States
Duration: 2012 Nov 272012 Nov 30

Publication series

Name2012 IEEE Visual Communications and Image Processing, VCIP 2012

Other

Other2012 IEEE Visual Communications and Image Processing, VCIP 2012
CountryUnited States
CitySan Diego, CA
Period12/11/2712/11/30

Keywords

  • Stereo matching
  • color similarity
  • histogram
  • illumination variation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Jung, I. L., Sim, J. Y., & Kim, C-S. (2012). Histogram-based stereo matching under varying illumination conditions. In 2012 IEEE Visual Communications and Image Processing, VCIP 2012 [6410819] (2012 IEEE Visual Communications and Image Processing, VCIP 2012). https://doi.org/10.1109/VCIP.2012.6410819