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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/189
Title: Match propagation for image-based modeling and rendering
Authors: Lhuillier, Maxime
Quan, Long
Keywords: Quasi-dense matching
Stereo vision
Image-based modeling and rendering
Issue Date: 2002
Citation: IEEE transactions on pattern analysis and machine intelligence, v. 24, no. 8, Aug. 2002, p. 1140-1146
Abstract: This paper presents a quasi-dense matching algorithm between images based on match propagation principle. The algorithm starts from a set of sparse seed matches, then propagates to the neighboring pixels by the best-first strategy, and produces a quasi-dense disparity map. The quasi-dense matching aims at broad modeling and visualization applications which rely heavily on matching information. Our algorithm is robust to initial sparse match outliers due to the best-first strategy; It is efficient in time and space as it is only output sensitive; It handles half-occluded areas because of the simultaneous enforcement of newly introduced discrete 2D gradient disparity limit and the uniqueness constraint. The properties of the algorithm are discussed and empirically demonstrated. The quality of quasi-dense matching are validated through intensive real examples.
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URI: http://hdl.handle.net/1783.1/189
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