Controllable Hand Deformation from Sparse Examples with Rich Details

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Date
2011
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Recent advances in laser scanning technology have made it possible to faithfully scan a real object with tiny geometric details, such as pores and wrinkles. However, a faithful digital model should not only capture static details of the real counterpart but also be able to reproduce the deformed versions of such details. In this paper, we develop a data-driven model that has two components respectively accommodating smooth large-scale deformations and high-resolution deformable details. Large-scale deformations are based on a nonlinear mapping between sparse control points and bone transformations. A global mapping, however, would fail to synthesize realistic geometries from sparse examples, for highly-deformable models with a large range of motion. The key is to train a collection of mappings defined over regions locally in both the geometry and the pose space. Deformable fine-scale details are generated from a second nonlinear mapping between the control points and per-vertex displacements. We apply our modeling scheme to scanned human hand models. Experiments show that our deformation models, learned from extremely sparse training data, are effective and robust in synthesizing highly-deformable modelswith rich fine features, for keyframe animation as well as performance-driven animation. We also compare our results with those obtained by alternative techniques.
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@inproceedings{
:10.2312/SCA/SCA11/073-082
, booktitle = {
Eurographics/ ACM SIGGRAPH Symposium on Computer Animation
}, editor = {
A. Bargteil and M. van de Panne
}, title = {{
Controllable Hand Deformation from Sparse Examples with Rich Details
}}, author = {
Huang, Haoda
and
Zhao, Ling
and
Yin, KangKang
and
Qi, Yue
and
Yu, Yizhou
and
Tong, Xin
}, year = {
2011
}, publisher = {
The Eurographics Association
}, ISSN = {
1727-5288
}, ISBN = {
978-1-4503-0923-3
}, DOI = {
/10.2312/SCA/SCA11/073-082
} }
Citation