@Article{cmes.2003.004.351,
AUTHOR = {Eugene J. Alexander, Christoph Bregler, Thomas P. Andriacchi},
TITLE = {Non-Rigid Modeling of Body Segments for Improved Skeletal Motion Estimation},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {4},
YEAR = {2003},
NUMBER = {3&4},
PAGES = {351--364},
URL = {http://www.techscience.com/CMES/v4n3&4/33334},
ISSN = {1526-1506},
ABSTRACT = {A necessary requirement for many musculoskeletal modeling tasks is an estimation of skeletal motion from observations of the surface of a body segment. The skeletal motion may be used directly for inverse kinematic calculations or as an observation sequence for forward dynamic simulations. This paper describes a fundamentally new approach to human motion capture for biomechanical analysis. Techniques for generating three-dimensional models of human skeletal elements from magnetic resonance imaging data are described, along with a methodology for corresponding these high-resolution internal models to externally observable features. A system for generating dynamic visualizations of these skeletal models from retro-reflective, skin-mounted marker motion capture data is also developed. Next, a set of techniques for estimating body segment shape and pose without the need for retro-reflective markers, from single and multiple, calibrated and un-calibrated cameras is developed. Example results from both synthetic and actual data sequences are presented.},
DOI = {10.3970/cmes.2003.004.351}
}