中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Model Transduction with Mean-value Shape Representation

文献类型:会议论文

作者Huai-Yu Wu; Chunhong Pan; Qing Yang; Hong-Xia Wang; Songde MA
出版日期2008
会议名称Computer Graphics International (CGI 2008)
会议日期2008
会议地点Istanbul, Turkey
关键词Model Transduction with Mean-value Shape Representation
通讯作者Huai-Yu Wu
英文摘要
This paper proposes a novel method, calledmodel
transduction, to directly transfer pose between differentmeshes,
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 source deformation,
thus effectively avoids unsatisfying results when the
source and target have different reference poses.Model transduction
is based on two components: model deformation and
model correspondence. Specifically, based on mean-value
manifold operator, our mesh deformation method produces
visually pleasing deformation results under large angle rotations
or big-scale translations of handles. We also propose a
novel scheme for shape preserving correspondence between
manifold meshes. Then, with the above two components, we
present the model transduction technique to directly transfer
pose between different mesh models. Moreover, we show
that the transduction method also can be used for pose correction
after various mesh editing operations. 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.
会议录Computer Graphics International (CGI 2008)
源URL[http://ir.ia.ac.cn/handle/173211/12142]  
专题自动化研究所_09年以前成果
作者单位NLPR, CASIA
推荐引用方式
GB/T 7714
Huai-Yu Wu,Chunhong Pan,Qing Yang,et al. Model Transduction with Mean-value Shape Representation[C]. 见:Computer Graphics International (CGI 2008). Istanbul, Turkey. 2008.

入库方式: OAI收割

来源:自动化研究所

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