Multi-biometrics Using Facial Appearance, Shape and Temperature

We present results of the first study to examine individual and multi-modal face recognition using 2D, 3D and infrared images of the same set of subjects. Each sensor captures different aspects of human facial features; appearance in intensity representing surface reflectance from a light source, shape data representing depth values from the camera, and the pattern of heat emitted, respectively. We employ a database containing a gallery set of 127 images and an accumulated time-lapse probe set of 297 images. Using a PCA-based approach tuned separately for 2D, 3D and IR,

• Type: Conference
• Year: 2004
• Where: FGR
• Authors: Kyong I. Chang, Kevin W. Bowyer, Patrick J. Flynn, Xin Chen
• Keywords: Biometrics, FGR 2004, Intensity Representing Surface, Multi-modal Face Recognition, Time-lapse Probe Set