Reliable Face Recognition Methods

This book seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields. These include neurosciences, statistics, signal and image processing, computer vision, machine learning and data mining. Biometrics is the major component in the complex decision making process associated with security applications. The challenges addressed for face detection and authentication include cluttered environments, occlusion and disguise, temporal changes, robust training and open set testing. One of the challenges for computational intelligence and biometrics is to understand how people process and recognize faces, and to develop automated and reliable face recognition systems. The book examines the evolution of research surrounding the field, explores new directions, and offers specific guidance on the most promising venues for research and development. The book has a focused approach and its clarity of presentation make this an excellent reference work.

Well-focused approach and clarity of presentation make this an excellent reference work Unique state-of-the-art survey text examines the evolution of face-recognition systems as they drive for superior reliability and describes methods being considered and tested for enhancing system design and implementation

Inhalt
The Human Face.- Modeling and Prediction.- Data Collection.- Face Representation.- Face Recognition.- Face in a Crowd.- 3D.- Data Fusion.- Denial and Deception.- Augmented Cognition.- Performance Evaluation.- Error Analysis.- Security and Privacy.- e-Science and Computing.- Epilogue.