TY - CHAP A1 - Edson C. Kitani A2 - Emilio M. Hernandez A3 - Gilson A. Giraldi A4 - Carlos E. Thomaz ED1 - Peter Corcoran Y1 - 2011-08-01 PY - 2011 T1 - Exploring and Understanding the High Dimensional and Sparse Image Face Space: a Self-Organized Manifold Mapping N2 - As a baby, one of our earliest stimuli is that of human faces. We rapidly learn to identify, characterize and eventually distinguish those who are near and dear to us. We accept face recognition later as an everyday ability. We realize the complexity of the underlying problem only when we attempt to duplicate this skill in a computer vision system. This book is arranged around a number of clustered themes covering different aspects of face recognition. The first section presents an architecture for face recognition based on Hidden Markov Models; it is followed by an article on coding methods. The next section is devoted to 3D methods of face recognition and is followed by a section covering various aspects and techniques in video. Next short section is devoted to the characterization and detection of features in faces. Finally, you can find an article on the human perception of faces and how different neurological or psychological disorders can affect this. BT - New Approaches to Characterization and Recognition of Faces SP - Ch. 12 UR - https://doi.org/10.5772/22173 DO - 10.5772/22173 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-10-22 ER -