Coarse-to-fine stereo vision with accurate 3D boundaries

  • Authors:

  • Mikhail Sizintsev;Richard P. Wildes

  • Affiliations:

  • Department of Computer Science & Engineering, and Centre for Vision Research, York University, 4700 Keele Street, CSE 3023, Toronto, Ont., Canada M3J 1P3;Department of Computer Science & Engineering, and Centre for Vision Research, York University, 4700 Keele Street, CSE 3023, Toronto, Ont., Canada M3J 1P3

  • Venue:
  • Image and Vision Computing
  • Year:
  • 2010

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Abstract

This paper presents methods for efficient recovery of accurate binocular disparity estimates in the vicinity of 3D surface discontinuities. Of particular concern are methods that impact coarse-to-fine, local block-based matching as it forms the basis of the fastest and the most resource efficient stereo computation procedures. A novel coarse-to-fine refinement procedure that adapts match window support across scale to ameliorate corruption of disparity estimates near boundaries is presented. Extensions are included to account for half-occlusions and colour uniformity. Empirical results show that incorporation of these advances in the standard coarse-to-fine, block matching framework reduces disparity errors by more than a factor of two, while performing little extra computation, preserving low complexity and the parallel/pipeline nature of the framework. Moreover, the proposed advances prove to be beneficial for CTF global matchers as well.