CORC  > 北京大学  > 信息科学技术学院
A 3D 2-subiteration thinning algorithm for human pose estimation
Liu, Hong-Zhi ; Wu, Zhong-Hai ; Li, Cao ; Wang, Yang
刊名ruan jian xue baojournal of software
2010
英文摘要Markerless human body model reconstruction has been a hot research topic for decades, and it has many applications in human computer interaction (HCI), medical rehabilitation, sport training, and virtual human synthesis for games, cartoons and digital films. This paper presents a markerless 3D human body skeleton model reconstruction method. It takes input from multi-view video, and computes the visual hull of human body through shape-from-silhouette. It then extracts the 3D skeleton by a new hybrid 2-subiteration thinning algorithm, and registers the skeleton to a 3D human body skeleton model by a heuristic method. The experiment results show that although the intermediate results of the shape-from-silhouettes process and 3D thinning process contain much noise, the model registration method, which bases on a set of simple prior rules , can still get accurate 3D human body skeleton model. ? by Institute of Software, the Chinese Academy of Sciences.; EI; 0; SUPPL. 1; 158-164; 21
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/294706]  
专题信息科学技术学院
软件与微电子学院
推荐引用方式
GB/T 7714
Liu, Hong-Zhi,Wu, Zhong-Hai,Li, Cao,et al. A 3D 2-subiteration thinning algorithm for human pose estimation[J]. ruan jian xue baojournal of software,2010.
APA Liu, Hong-Zhi,Wu, Zhong-Hai,Li, Cao,&Wang, Yang.(2010).A 3D 2-subiteration thinning algorithm for human pose estimation.ruan jian xue baojournal of software.
MLA Liu, Hong-Zhi,et al."A 3D 2-subiteration thinning algorithm for human pose estimation".ruan jian xue baojournal of software (2010).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace