Pose-Independent Face Identification from Video Sequences

A scheme for pose-independent face recognition is presented. An "unwrapped" texture map is constructed from a video sequence using a texture-from-motion approach, which is shown to be quite accurate. Simple lighting normalization methods improve robustness to directional and/or varying lighting conditions. Recognition of single frames against calculated unwrapped textures is carried out using principal component analysis. The system is typically better than 90% correct in its identifications.

• Type: Conference
• Year: 2001
• Where: AVBPA
• Authors: Michael C. Lincoln, Adrian F. Clark
• Keywords: AVBPA 2001, Biometrics, Pose-independent Face Recognition, Simple Lighting Normalization, Varying Lighting Conditions