Paper
25 September 2003 Algorithms for local concave surface recovery from visual hull models
Zhiqiang Wu, Yue Chen
Author Affiliations +
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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KEYWORDS
3D modeling

Visual process modeling

Visualization

Reconstruction algorithms

Clouds

Laser scanners

Computer graphics

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