Dynamic body transformation and matching from scanned
data
Nadia
Magnenat-Thalmann
Hyewon Seo
Summary
Appropriate combinations of statistical and geometric methods permit modeling
and estimation of complex objects. This talk investigates such combinations in
the modeling of human body models in computer graphics. By concentrating on
such a particular class of objects, we show how example based techniques
together with interpolation ones can exploit existing data and knowledge about
body shape and size modelling. Across the human population, the bodies of
individuals exhibit a great deal of variation in their appearance, but they
still have a good deal of structure in common. The work presented here takes advantage
of this commonality - information concerning the appearance of the bodies is
used either by a numeric form or directly fed into the model. This
results in more successful and robust systems. Aside from being a good testbed
for our example-based techniques, human bodies are interesting on their
own, playing an important role in a wide range of applications. Graphical
modeling of human bodies obviously has applications in the entertainment
industry for character animation and simulations involving people. Other
applications range from virtual reality to ergonomic and manufacturing studies.