Surface Reconstruction of Scanned Human Body Using Radial Basis ＇Functions and Adaptive Partition of Unity

It is important to reconstruct a continuous surface representation of the point cloud scanned from a human body. In this paper a new implicit surface method is proposed to reconstruct the human body surface from the points based on the combination of radial basis functions （RBFs） and adaptive partit...

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Bibliographic Details
Published in:Shanghai jiao tong da xue xue bao 2009-06, Vol.14 (3), p.261-265
Main Author: 吕方梅 习俊通 马登哲
Format: Article
Language:English
Subjects:
Architecture
Computer Science
Electrical Engineering
Engineering
Life Sciences
Materials Science
人体扫描
体表面
地表面
径向基函数
自适应分割
表面重建
隐式曲面
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Summary:It is important to reconstruct a continuous surface representation of the point cloud scanned from a human body. In this paper a new implicit surface method is proposed to reconstruct the human body surface from the points based on the combination of radial basis functions （RBFs） and adaptive partition of unity （PoU）. The whole 3D domain of the scanned human body is firstly subdivided into a set of overlapping subdomalns based on the improved octrees. The smooth local surfaces are then computed in the subdomalns based on RBFs. And finally the global human body surface is reconstructed by blending the local surfaces with the adaptive PoU functions. This method is robust for the surface reconstruction of the scanned human body even with large or non-uniform point cloud which has a sharp density variation.
ISSN:1007-1172
1995-8188
DOI:10.1007/s12204-009-0261-6