Modeling and deformation method of human body model based on range data

Author(s):  
R. Matsuda ◽  
T. Nishita
2014 ◽  
Vol 556-562 ◽  
pp. 4685-4688
Author(s):  
Xiu Lin Zhang ◽  
Bing He ◽  
Xiao Dan Lin

This paper provides a simple and effective parametric modeling method which will simplify the human body model to cross-sectional contours and map selected human body measuring parameters into cross-sectional contours. Deformation functions of different human parts are defined to make deformation on cross-sectional contours. Deformed model is optimized and cross-sectional contours are restructured to triangular grid in order to render the model after deformation. Operations of this method are simple and only 13 commonly-used measuring parameters are needed to obtain targeted human body model with a good sense of reality.


1996 ◽  
Author(s):  
Haruhiko Sato ◽  
Takayuki Yanagishima ◽  
Toshimichi Hanai ◽  
Noritoshi Yoshitsugu

2022 ◽  
Vol 355 ◽  
pp. 03026
Author(s):  
Shiheng Zhang ◽  
Shaopeng Zhang ◽  
Jianyang Chen ◽  
Xiuling Wang

3D reconstruction of human body model is a very important research topic in 3D reconstruction and also a challenging research direction in engineering field. In this paper, the whole pipeline flow of 3D reconstruction of human body model based on incremental motion recovery structure is proposed. Use mobile phone to collect images from different angles and screen them; Secondly, feature extraction and matching under SIFT operator, sparse reconstruction of incremental motion recovery structure, dense reconstruction based on depth map and other processes are carried out. Poisson surface reconstruction is finally carried out to achieve model reconstruction. Experiments show that the effect subject of the reconstructed model is clear.


2021 ◽  
Vol 2026 (1) ◽  
pp. 012027
Author(s):  
Shuai Zhao ◽  
Jifeng Sun ◽  
Hongshi Ou ◽  
Yinggang Li

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