Improving Depth Estimation using Colour Information in Stereo Vision

P. CompaƱ, R. Satorre, R. Rizo, and R. Molina (Spain)

Keywords

Multiresolution, energy function, colour model, disparity, interpolation

Abstract

This paper presents a multi-scale stereo correspondence algorithm that incorporates different modules correspond ing to every stage. A correspondence method is proposed based on minimizing an energy function using simulated annealing. Multiresolution techniques are also introduced to improve both response time and the quality of results. A technique of calculating the distance between two col ours is defined for comparing colour features in HLS model. This measure not only highlights the difference in the H component but also considers the differences in S and L values. A metrics for evaluating the quality of a disparity map is defined. Experimental results with real images are presented to illustrate the approach taken.

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