Controllable Hand Deformation from Sparse Examples with Rich Details

Simple item page
dc.contributor.authorHuang, Haodaen_US
dc.contributor.authorZhao, Lingen_US
dc.contributor.authorYin, KangKangen_US
dc.contributor.authorQi, Yueen_US
dc.contributor.authorYu, Yizhouen_US
dc.contributor.authorTong, Xinen_US
dc.contributor.editorA. Bargteil and M. van de Panneen_US
dc.date.accessioned2013-10-31T10:28:25Z
dc.date.available2013-10-31T10:28:25Z
dc.date.issued2011en_US
dc.description.abstractRecent 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.en_US
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on Computer Animationen_US
dc.identifier.isbn978-1-4503-0923-3en_US
dc.identifier.issn1727-5288en_US
dc.identifier.urihttps://doi.org/10.2312/SCA/SCA11/073-082en_US
dc.publisherThe Eurographics Associationen_US
dc.titleControllable Hand Deformation from Sparse Examples with Rich Detailsen_US
Files
Collections
SCA 11: Eurographics/SIGGRAPH Symposium on Computer Animation