English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Capture and Statistical Modeling of Arm-muscle Deformations

Neumann, T., Varanasi, K., Hasler, N., Wacker, M., Magnor, M. A., & Theobalt, C. (2013). Capture and Statistical Modeling of Arm-muscle Deformations. Computer Graphics Forum, 32(2), 285-294. doi: 10.1111/cgf.12048.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Neumann, Thomas1, Author
Varanasi, Kiran2, Author           
Hasler, Nils2, Author           
Wacker, Marcus1, Author
Magnor, Marcus A.1, Author           
Theobalt, Christian2, Author                 
Affiliations:
1External Organizations, ou_persistent22              
2Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

Content

show
hide
Free keywords: -
 Abstract: We present a comprehensive data-driven statistical model for skin and muscle deformation of the human shoulder-arm 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.

Details

show
hide
Language(s): eng - English
 Dates: 2013-05-062013
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Neumann2013
DOI: 10.1111/cgf.12048
Other: Local-ID: 5856D9206B198109C1257B0A005BFD02-Neumann2013
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Computer Graphics Forum
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Oxford, UK : Wiley-Blackwell
Pages: - Volume / Issue: 32 (2) Sequence Number: - Start / End Page: 285 - 294 Identifier: ISSN: 0167-7055
CoNE: https://pure.mpg.de/cone/journals/resource/954925483671

Source 2

show
hide
Title: EUROGRAPHICS 2013
  Abbreviation : EUROGRAPHICS 2013
  Other : EG 2013
  Subtitle : The European Association for Computer Graphics 34 th Annual Conference ; Girona, Spain, May 6th - 10th, 2013
Source Genre: Proceedings
 Creator(s):
Navazo, Isabel1, Editor
Poulin, Pierre1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -