Anthony C. Fang

Learn More
Despite leaps in motion capture technology, the di-chotomy between unencumbered vision-based motion recovery and the prevailing marker-assisted motion capture solution remains largely pertinent. This paper bridges the gap by introducing an attachment-free, full-body motion capture technique that employs multiple high-speed cameras and a customized bodysuit.(More)
We address the volumetric reconstruction problem that takes as input a series of orthographic multi-energy X-ray images, producing as output a reconstructed model space consisting of uniform-size mass density voxels. Our approach solves the non-linear constrained optimization for mulation problem by constructing a compliant estimate of volumetric(More)
In this paper, we propose a novel two-level regression method for computing body mass distribution from a database of X-ray images, without scanning the new subject. Our approach first selects a suitable sample from the image database by minimizing a distance function based on the relationships between the new subject's body measurements and those of sample(More)
Efficient numerical techniques developed in the field of computer graphics are able to simulate compellingly realistic simulations of interactions between solids and fluids. These techniques are less used for engineering applications due to errors inherent in the systemic approximations. The errors, manifesting as excessive damping, are expected to change(More)
A fully automatic 3D-2D articulated registration algorithm for aligning a whole-body human geometry to a 2D X-ray image is presented. Domain prior in the form of a hierarchical model encapsulating the kinematic structure of the human body is exploited. A deformation operator is then defined with respect to the hierarchical model. An iterative search using(More)
  • 1