A multivalued representation for view synthesis

作者: N.L. Chang , A. Zakhor

DOI: 10.1109/ICIP.1999.822947

关键词:

摘要: We propose a new depth-based representation of 3-D scenes primarily for the problem arbitrary view synthesis. The information contained in given image sequence is compacted into single multivalued array, where points are organized by occlusions rather than coherent affine motions. This grouping facilitates an automatic process to determine number layers and helps reduce artifacts caused scene. In addition, iterative multiframe dynamic programming algorithm described produce piecewise smooth depth maps. A novel segmentation, tracking, plane fitting also proposed handle traditionally difficult low-contrast regions. Reconstructed views as well flyarounds real presented demonstrate effectiveness approach.

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