Using Model-Driven Bundle-Adjustment to Model Heads from Raw Video Sequences

We show that we can effectively and automatically fit a complex facial animation model to uncalibrated image sequences. Our approach is based on model-driven bundleadjustment followed by least-squares fitting. It takes advantage of three complementary sources of information: stereo data, silhouette edges and 2?D feature points. In this way, complete head models can be acquired with a cheap and entirely passive sensor, such as an ordinary video camera. They can then be fed to existing animation software to produce synthetic sequences.

• Type: Conference
• Year: 1999
• Where: ICCV
• Authors: Pascal Fua
• Keywords: Complete Head Models, Complex Facial Animation, Computer Vision, ICCV 1999, Ordinary Video Camera, Synthetic Sequences, Uncalibrated Image Sequences