A Comparison of Face Verification Algorithms using Appearance Models

Statistical models of shape and appearance have been successfully used in face modeling, tracking and synthesis. In this paper we describe experiments using appearance models for face verification. We compare a variety of different algorithms on a standard face database (XM2VTS). We demonstrate that simple methods of correction for head pose and face expression can significantly improve results.

• Type: Conference
• Year: 2002
• Where: BMVC
• Authors: H. Kang, Timothy F. Cootes, Christopher J. Taylor
• Keywords: BMVC 2002, Computer Vision, Face Modeling, Face Verification, Standard Face Database