Performance evaluation of multiresolution methods in disparity estimation

Authors:
Dibyendu Mukherjee;Gaurav Bhatnagar;Q. M. Jonathan Wu
Affiliations:
Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada;Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada;Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada
Venue:
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Year:
2010

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Abstract

Disparity estimation from stereo imagery has gained substantial interest of research community from its commencement with the recent trend being the use of multiresolution methods. Existing multiresolution based methods are relatively independent and do not, in general, relate to a continuous progress in the research. As a result, the relative advantages and disadvantages of a particular multiresolution method in disparity estimation are hard to understand. Present work is an effort to put different multiresolution methods together to highlight their expediency and suitability along with the comparison to get a better understanding. Three different frameworks are used having different strengths and limitations followed by the comparison in the terms of time complexity, quality of matching and effect of different levels of decomposition. Qualitative and quantitative results have been provided for four types of standard multiresolution methods.