New Robust Matching Cost Functions for Stereo Vision

  • Authors:
  • Edwin D. El-Mahassni

  • Affiliations:
  • -

  • Venue:
  • DICTA '07 Proceedings of the 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications
  • Year:
  • 2007

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Abstract

An important first step in calculating a disparity map for two stereoscopic images is the estimation of an initial match score. This paper presents two new match score functions, which although constructed from older cost functions perform better across the different lighting conditions listed here, than their predecessors. Error measurements and disparity maps for indoor and outdoor imagery are also presented.