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Direct Shape Carving: Smooth 3D Points and Normals for Surface Reconstruction
Kazuki MATSUDA
Norimichi UKITA
Publication
IEICE TRANSACTIONS on Information and Systems Vol.E95-D No.7 pp.1811-1818
Publication Date: 2012/07/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Machine Vision and its Applications)
Category: 3D Reconstruction
Keyword: human shape reconstruction,
shape from silhouettes,
stereopsis,
3D surface reconstruction,
Full Text: PDF(4MB)
Summary: This paper proposes a method for reconstructing a smooth and accurate 3D surface. Recent machine vision techniques can reconstruct accurate 3D points and normals of an object. The reconstructed point cloud is used for generating its 3D surface by surface reconstruction. The more accurate the point cloud, the more correct the surface becomes. For improving the surface, how to integrate the advantages of existing techniques for point reconstruction is proposed. Specifically, robust and dense reconstruction with Shape-from-Silhouettes (SfS) and accurate stereo reconstruction are integrated. Unlike gradual shape shrinking by space carving, our method obtains 3D points by SfS and stereo independently and accepts the correct points reconstructed. Experimental results show the improvement by our method.
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