Model Transduction for Triangle Meshes

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 遥感图像处理团队

	Model Transduction for Triangle Meshes
	Wu, Huai-Yu1,2 ; Pan, Chun-Hong2 ; Zha, Hong-Bin ; Ma, Song-De2
刊名	JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
	2010-05-01
卷号	25 期号:3 页码:583-594
关键词	retargetting mesh deformation mean-value manifold operator cross-parameterization model transduction
英文摘要	This paper proposes a novel method, called model transduction, to directly transfer pose between different meshes, without the need of building the skeleton configurations for meshes. Different from previous retargetting methods, such as deformation transfer, model transduction does not require a reference source mesh to obtain the source deformation, thus effectively avoids unsatisfying results when the source and target have different reference poses. Moreover, we show other two applications of the model transduction method: pose correction after various mesh editing operations, and skeleton-free deformation animation based on 3D Mocap (Motion capture) data. Model transduction is based on two ingredients: model deformation and model correspondence. Specifically, based on the mean-value manifold operator, our mesh deformation method produces visually pleasing deformation results under large angle rotations or big-scale translations of handles. Then we propose a novel scheme for shape-preserving correspondence between manifold meshes. Our method fits nicely in a unified framework, where the similar type of operator is applied in all phases. The resulting quadratic formulation can be efficiently minimized by fast solving the sparse linear system. Experimental results show that model transduction can successfully transfer both complex skeletal structures and subtle skin deformations.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
研究领域[WOS]	Computer Science
关键词[WOS]	SURFACE DEFORMATION ; PARAMETERIZATION ; MANIPULATION
收录类别	SCI
语种	英语
WOS记录号	WOS:000277548500017
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3691]
专题	自动化研究所_模式识别国家重点实验室_遥感图像处理团队
作者单位	1.Peking Univ, Key Lab Machine Percept MOE, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wu, Huai-Yu,Pan, Chun-Hong,Zha, Hong-Bin,et al. Model Transduction for Triangle Meshes[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2010,25(3):583-594.
APA	Wu, Huai-Yu,Pan, Chun-Hong,Zha, Hong-Bin,&Ma, Song-De.(2010).Model Transduction for Triangle Meshes.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,25(3),583-594.
MLA	Wu, Huai-Yu,et al."Model Transduction for Triangle Meshes".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 25.3(2010):583-594.