Generation of 3D Human Models with Different Levels of Detail through Point-Based Simplification

Author

Yu, Hui ; Qin, Sheng-Feng ; Wight, David K. ; Kang, Jin-Sheng

Author_Institution

Brunel Univ., Uxbridge

fYear

2007

fDate

9-12 Sept. 2007

Firstpage

1982

Lastpage

1986

Abstract

We describe a method for generating 3D human models with different levels of detail based on scanned point cloud. A simple hierarchical and interactive simplification algorithm is investigated to create approximations of the point-based human model with various sampling densities. With the completion of sampling, a triangulation procedure is performed to produce final meshes easily based on the sector tree information. Parameters allow users to control the mesh quality in terms of regularity, uniformity and density. The modeling algorithm has been tested with examples.

Keywords

realistic images; rendering (computer graphics); 3D human models; hierarchical-interactive simplification algorithm; human modeling algorithm; mesh quality; point-based human model; point-based simplification; triangulation procedure; Clouds; Clustering algorithms; Humans; Image reconstruction; Reconstruction algorithms; Sampling methods; Signal processing algorithms; Signal resolution; Spatial resolution; Surface reconstruction; Human modeling; level of detail; scanned data; simplification;

fLanguage

English

Publisher

ieee

Conference_Titel

EUROCON, 2007. The International Conference on "Computer as a Tool"

Conference_Location

Warsaw

Print_ISBN

978-1-4244-0813-9

Electronic_ISBN

978-1-4244-0813-9

Type

conf

DOI

10.1109/EURCON.2007.4400545

Filename

4400545