期刊
COMPUTER GRAPHICS FORUM
卷 33, 期 7, 页码 239-248出版社
WILEY
DOI: 10.1111/cgf.12492
关键词
Categories and Subject Descriptors (according to ACM CCS); I; 3; 7 [Computer Graphics]: Three-Dimensional Graphics and RealismAnimation
资金
- Cancer Prevention and Research Institue of Texas (CPRIT) [RP110329]
- National Science Foundation (NSF) [IIS-1149737, CNS-1012975]
- State Key Laboratory of Virtual Reality Technology and Systems, Beihang University [BUAA-VR-13KF-06]
- Natural Science Foundation of China [61174161]
- Scientific and Technology Emphasis Project of Fujian Province [2011H0031, 2011H0040]
- Fundamental Research Funds for the Central Universities of Xiamen University [0680-ZK10122013121030]
- Special and Major Subject Project of the Industrial Science and Technology in Fujian Province [2013HZ0004-1]
- Anhui Science and Technology Bureau [1301021018]
- Direct For Computer & Info Scie & Enginr
- Division Of Computer and Network Systems [1012975] Funding Source: National Science Foundation
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1149737] Funding Source: National Science Foundation
Sparse localized decomposition is a useful technique to extract meaningful deformation components out of a training set of mesh data. However, existing methods cannot capture large rotational motion in the given mesh dataset. In this paper we present a new decomposition technique based on deformation gradients. Given a mesh dataset, the deformation gradient field is extracted, and decomposed into two groups: rotation field and stretching field, through polar decomposition. These two groups of deformation information are further processed through the sparse localized decomposition into the desired components. These sparse localized components can be linearly combined to form a meaningful deformation gradient field, and can be used to reconstruct the mesh through a least squares optimization step. Our experiments show that the proposed method addresses the rotation problem associated with traditional deformation decomposition techniques, making it suitable to handle not only stretched deformations, but also articulated motions that involve large rotations.
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