Show simple item record

dc.contributor.authorNeumann, Thomasen_US
dc.contributor.authorVaranasi, Kiranen_US
dc.contributor.authorHasler, Nilsen_US
dc.contributor.authorWacker, Markusen_US
dc.contributor.authorMagnor, Marcusen_US
dc.contributor.authorTheobalt, Christianen_US
dc.contributor.editorI. Navazo, P. Poulinen_US
dc.date.accessioned2015-02-28T15:22:52Z
dc.date.available2015-02-28T15:22:52Z
dc.date.issued2013en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12048en_US
dc.description.abstractWe present a comprehensive data-driven statistical model for skin and muscle deformation of the human shoulderarm complex. Skin deformations arise from complex bio-physical effects such as non-linear elasticity of muscles, fat, and connective tissue; and vary with physiological constitution of the subjects and external forces applied during motion. Thus, they are hard to model by direct physical simulation. Our alternative approach is based on learning deformations from multiple subjects performing different exercises under varying external forces. We capture the training data through a novel multi-camera approach that is able to reconstruct fine-scale muscle detail in motion. The resulting reconstructions from several people are aligned into one common shape parametrization, and learned using a semi-parametric non-linear method. Our learned data-driven model is fast, compact and controllable with a small set of intuitive parameters - pose, body shape and external forces, through which a novice artist can interactively produce complex muscle deformations. Our method is able to capture and synthesize fine-scale muscle bulge effects to a greater level of realism than achieved previously. We provide quantitative and qualitative validation of our method.en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectI.3.7 [Computer Graphics]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectI.4.8 [Image Processing]en_US
dc.subjectDigitization and Image Captureen_US
dc.subjectScanningen_US
dc.titleCapture and Statistical Modeling of Arm-Muscle Deformationsen_US
dc.description.seriesinformationComputer Graphics Forumen_US


Files in this item

Thumbnail
Thumbnail
Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record