Handbook of Face Recognition

The history of computer-aided face recognition dates back to the 1960s, yet the problem of automatic face recognition - a task that humans perform routinely and effortlessly in our daily lives - still poses great challenges, especially in unconstrained conditions.

Introduction.- Face Recognition in Subspaces.- Face Subspace Learning.- Local Representation of Facial Features.- Face Alignment Models.- Morphable Models of Faces.- Illumination Modeling for Face Recognition.- Face Recognition Across Pose and Illumination.- Skin Color in Face Analysis.- Face Aging Modeling.- Face Detection.- Facial Landmark Localization.- Face Tracking and Recognition in Video.- Face Recognition at a Distance.- Face Recognition Using Near Infrared Images.- Multispectral Face Imaging and Analysis.- Face Recognition Using 3D Images.- Facial Action Tracking.- Facial Expression Recognition.- Face Synthesis.- Evaluation Methods in Face Recognition.- Dynamic Aspects of Face Processing in Humans.- Face Recognition by Humans and Machines.- Face Recognition Applications.- Large Scale Database Search.- Face Recognition in Forensic Science.- Privacy Protection and Face Recognition.