Open Collections

Learning periorbital soft tissue motion

University of British Columbia

Human observers tend to pay a lot of attention to the eyes and the surrounding soft tissues. These periorbital soft tissues are associated with subtle and fast motions that convey emotions during facial expressions. Modeling the complex movements of these soft tissues is essential for capturing and reproducing realism in facial animations. In this work, we present a data driven model that can efficiently learn and reproduce the complex motion of the periorbital soft tissues. We develop a system to capture the motion of the eye region using a high frame rate monocular camera. We estimate the high resolution texture of the surrounding eye regions using a Bayesian framework. Our learned model performs well in reproducing various animations of the eyes. We further improve realism by introducing methods to model facial wrinkles.

Text

2016-03-31

Attribution-NonCommercial 2.5 Canada

http://hdl.handle.net/2429/54784

Computer Science

University of British Columbia

UBCV

http://creativecommons.org/licenses/by-nc/2.5/ca/