Title :
Analysis of disparity gradient based cooperative stereo
Author :
Li, Ze-Nian ; Hu, Gongzhu
Author_Institution :
Sch. of Comput. Sci., Simon Fraser Univ., Burnaby, BC, Canada
fDate :
11/1/1996 12:00:00 AM
Abstract :
This paper argues that the disparity gradient subsumes various constraints for stereo matching, and can thus be used as the basis of a unified cooperative stereo algorithm. Traditionally, selection of the neighborhood support function (NSF) in cooperative stereo was left as a heuristic exercise. We present an analysis and evaluation of three families of NSFs based on the disparity gradient. It is shown that an exponential decay function with a conveniently selectable parameter is well behaved in that it yields the least error, converges steadily, and produces correctly located weak-winners. The discovery of the well-behaved function facilitates the success of the disparity gradient based approach. It is suggested that this function will help a two-pass algorithm in resolving the dilemma of surface continuity and discontinuity/occlusion. In our experiments, the unified cooperative stereo-matching algorithm is tested on random-dot stereograms containing opaque and transparent surfaces. It is also shown to be applicable to both area matching and contour matching in real-world images
Keywords :
convergence of numerical methods; image matching; stereo image processing; area matching; contour matching; convergence; discontinuity; disparity gradient based cooperative stereo; exponential decay function; neighborhood support function; occlusion; opaque surfaces; random-dot stereograms; real-world images; stereo matching; surface continuity; transparent surfaces; two-pass algorithm; unified cooperative stereo algorithm; weak-winners; Computer science; Councils; Equations; Error correction; Humans; Layout; Machine vision; Stereo vision; Testing;
Journal_Title :
Image Processing, IEEE Transactions on