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Proceedings Paper

Algorithms for local concave surface recovery from visual hull models
Author(s): Zhiqiang Wu; Yue Chen
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Paper Abstract

Reconstruction of 3D objects and scenes based on 2D images is one of the most important topics in computer graphics and computer vision. Traditional visual hull reconstruction methods cannot correctly handle the situation wehre part of the object's concave surface is not reflected on the 2D silhouettes -- for example, the inner surface of a cup cannot be recovered frmo its photo images at any angles. In this paper, a new algorithm is presented to solve this problem, focusing on the passive reconstruction with local application of active methods as a complementation. The basic idea is to first obtain a 3D model from the octree hull reconstruction method, then apply some assistant facility to get the local information of the concave surface, and finally combine the two pieces of information together to obtain a more accurate surface model of the object.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539033
Show Author Affiliations
Zhiqiang Wu, Zhejiang Univ. (China)
Yue Chen, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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