Model-Based and Image-Based Methods for Facial Image Synthesis, Analysis and Recognition

We review several model-based and image-based methods that we have developed for analyzing, synthesizing, and recognizing facial images. Our model-based methods include a sophisticated, functional model of the human face/head, which incorporates a biomechanical tissue model with embedded muscle actuators, and techniques for applying it to computer animation and expression estimation in video. Our image-based methods include TensorFaces, a nonlinear (multilinear) representation for facial image ensembles that disentangles pose, illumination, and expression effects to improve facial recognition.

• Type: Conference
• Year: 2004
• Where: FGR
• Authors: Demetri Terzopoulos, Yuencheng Lee, M. Alex O. Vasilescu
• Keywords: Biomechanical Tissue Model, Biometrics, Facial Image, FGR 2004, Image-based Methods