3D Human Posture Segmentation by Spectral Clustering with Surface Normal constraint

	3D Human Posture Segmentation by Spectral Clustering with Surface Normal constraint
	Jun Cheng; MaoyingQiao; WeiBian c; DachengTao
刊名	SIGNAL PROCESSING
	2011
卷号	91 期号:9 页码:2204-2212
英文摘要	In this paper, we propose a new algorithm for partitioning human posture represented by 3D point clouds sampled from the surface of human body. The algorithm is formed as a constrained extension of the recently developed segmentation method, spectral clustering (SC). Two folds of merits are offered by the algorithm: (1) as a nonlinear method, it is able to deal with the situation that data (point cloud) are sampled from a manifold (the surface of human body) rather than the embedded entire 3D space; (2) by using constraints, it facilitates the integration of multiple similarities for human posture partitioning, and it also helps to reduce the limitations of spectral clustering. We show that the constrained spectral clustering (CSC) still can be solved by generalized eigen-decomposition. Experimental results confirm the effectiveness of the proposed algorithm.
收录类别	SCI
原文出处	http://www.sciencedirect.com/science/article/pii/S0165168411001009
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/3168]
专题	深圳先进技术研究院_集成所
作者单位	SIGNAL PROCESSING
推荐引用方式 GB/T 7714	Jun Cheng,MaoyingQiao,WeiBian c,et al. 3D Human Posture Segmentation by Spectral Clustering with Surface Normal constraint[J]. SIGNAL PROCESSING,2011,91(9):2204-2212.
APA	Jun Cheng,MaoyingQiao,WeiBian c,&DachengTao.(2011).3D Human Posture Segmentation by Spectral Clustering with Surface Normal constraint.SIGNAL PROCESSING,91(9),2204-2212.
MLA	Jun Cheng,et al."3D Human Posture Segmentation by Spectral Clustering with Surface Normal constraint".SIGNAL PROCESSING 91.9(2011):2204-2212.