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

• Published in: Shanghai jiao tong da xue xue bao Vol. 14; no. 3; pp. 261 - 265
• Main Author: 吕方梅 习俊通 马登哲
• Format: Journal Article
• Language: English
• Published: Heidelberg Shanghai Jiaotong University Press 01.06.2009
• 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; surface reconstruction; TP 391.72; human body; partition of unity (PoU); radial basis functions (RBFs)
• ISSN: 1007-1172; 1995-8188
• DOI: 10.1007/s12204-009-0261-6

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.