Algorithms for local concave surface recovery from visual hull models

Zhiqiang Wu; Yue Chen

doi:10.1117/12.539033

25 September 2003 Algorithms for local concave surface recovery from visual hull models

Zhiqiang Wu, Yue Chen

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539033
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

Citation Download Citation

Zhiqiang Wu and Yue Chen "Algorithms for local concave surface recovery from visual hull models", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539033

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