Extracting Main Modes of Human Shape Variation from 3-D Anthropometric Data

Download
  1. (PDF, 593 KB)
AuthorSearch for: ; Search for: ; Search for: ; Search for:
TypeArticle
ConferenceFifth International Conference on 3-D Digital Imaging and Modeling (3DIM 2005), June 13-17, 2005., Ottawa, Ontario, Canada
AbstractCharacterizing the variations of the human body shape is fundamentally important to many applications ranging from animation to product design. 3-D scanning technology makes it possible to digitize the complete surfaces of a large number of human bodies, providing much richer information about the body shape than the traditional anthropometric measurements. This technology opens up opportunities to extract new measurements for quantifying the body shape. Using the data from the first large scale 3-D anthropometric survey, the CAESAR project, we demonstrate that the human body shape can be represented by a small number of principal components. Principal Component Analysis extracts orthogonal basis vectors, called eigenpersons, from the space of body shapes. The shape of any individual person can then be expressed by the linear combination of the basis vectors. We demonstrate that some of these components correspond to the commonly used body measurements like height and weight and others indicate new ways of charactering body shape variations. We develop tools to visualize the changes of the body shape along the main components. These tools help understand the meaningful components of the human body shape.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48214
NPARC number8914136
Export citationExport as RIS
Report a correctionReport a correction
Record identifierc054d936-d021-46a6-a2c1-cfb637d8567f
Record created2009-04-22
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)