Pattern recognition is the research area that studies the operation and design of systems that recognise patterns in data. It encloses subdisciplines like discriminant analysis, feature extraction, error estimation, cluster analysis, grammatical inference and parsing. This book presents research from around the world.

Pattern recognition is the research area that studies the operation and design of systems that recognise patterns in data. It encloses subdisciplines like discriminant analysis, feature extraction, error estimation, cluster analysis (together sometimes called statistical pattern recognition), grammatical inference and parsing (sometimes called syntactical pattern recognition). Important application areas are image analysis, character recognition, speech analysis, man and machine diagnostics, person identification and industrial inspection. This book presents leading-edge research from around the world.

Preface
Research and Review Studies
Visual Pattern Recognition: What Makes Faces so Special?
Collision Recognition Inspired by Visual Neural Systems in Insects
Advances and Challenges in 3D and 2D+3D Human Face Recognition
Psychological Studies of the Criteria for 3D Free Form Shape Matching
Procedural Learning Differences in Obsessive-Compulsive Disorder: A Bridge between Cognitive-Behavioral and Neuropsychological Models?
Modeling of Ambulatory Heart Rate using Linear and Neural Network Approaches
Neurophysical Correlates of Pattern Recognition in the Peripheral Visual Field (Pattern Recognition in the Peripheral Visual Field)
Toll Bridge between the Outside World and Self: A Road to Safety or a Pass to Atherosclerosis?
Index.