| Improving Block-Based Disparity Estimation By Considering the Non-Uniform Distribution of the Estimation Error (1998) | |||||||||||||||
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| . A block-based disparity estimator is proposed that considers the non-uniform spatial distribution of the estimation error inside an image block that is mapped into another image plane using projective 2-D transformations. For this purpose, first the error variance distribution inside the image block is analytically derived. The derived error variance distribution shows four eccentric minima. As a consequence, the proposed disparity estimator arranges the image block eccentrically around the picture element (pel) to be evaluated. Thus, a reduction of the estimation error variance by a factor between 1.5 and 2 can be achieved compared to known block-based disparity estimation techniques. Since the error distribution shows four minima, four possible arrangements of the image blocks and hence four independent estimates can be made. A further reduction of the estimation error variance by a factor up to 2.6 can be achieved, when the four estimates are averaged. Additionally, an outlier det... | |||||||||||||||
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