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What is 3D Stereo Matching with Local Moves about?

This technical report presents a new stereo matching method using local expansion moves based on graph cuts to infer per-pixel 3D plane labels. The method combines slanted patch matching and curvature regularization terms within a Markov random field framework. It introduces local expansion moves defined over small grid regions that extend traditional expansion moves through localization and spatial propagation. This allows efficient inference of continuous 3D labels using randomized search. Evaluation on M

Author

علي حسين

Language

EN