DocumentCode :
2352277
Title :
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
Link To Document :
بازگشت