Automatic facial expression recognition constitutes an active research field due to the latest
advances in computing technology that make the user's experience a clear priority. The …

Over the past few years, we have been developing techniques for high-speed 3D shape
measurement using digital fringe projection and phase-shifting techniques: various …

We review the computation of 3D geometric data mapping, which establishes one-to-one
correspondence between or among spatial/spatiotemporal objects. Effective mapping …

Surface based 3D shape analysis plays a fundamental role in computer vision and medical
imaging. This work proposes to use optimal mass transport map for shape matching and …

This course describes how high-resolution face scanning, advanced character rigging, and
performance-driven facial animation were combined to create Digital Emily, a believably …

The human face is a complex trait under strong genetic control, as evidenced by the striking
visual similarity between twins. Nevertheless, heritability estimates of facial traits have often …

Ricci flow is a powerful curvature flow method, which is invariant to rigid motion, scaling,
isometric, and conformal deformations. We present the first application of surface Ricci flow …

The Digital Emily Project is a collaboration between facial animation company Image Metrics
and the Graphics Laboratory at the University of Southern California's Institute for Creative …

Ricci flow deforms the Riemannian metric proportionally to the curvature, such that the
curvature evolves according to a heat diffusion process and eventually becomes constant …

Research in the areas of 3-D face recognition and 3-D facial expression analysis has
intensified in recent years. However, most research has been focused on 3-D static data …