tailieunhanh - Báo cáo hóa học: " Editorial Facial Image Processing"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Facial Image Processing | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2007 Article ID 70872 2 pages doi 2007 70872 Editorial Facial Image Processing Christophe Garcia 1 Jorn Ostermann 2 and Tim Cootes3 1 Laboratory of Image Rich Media and Hyperlanguages Orange Labs France Telecom R D 35510 Cession-Sévigne Rennes France 2 Institutfur Informationsverarbeitung Leibniz Universitat Hannover 30167 Hannover Germany 3 Division of Imaging Science and Biomedical Engineering University of Manchester Manchester M13 9PL UK Received 12 December 2007 Accepted 12 December 2007 Copyright 2007 Christophe Garcia et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Facial image processing is an area of research dedicated to the extraction and analysis of information about human faces information which is known to play a central role in social interactions including recognition emotion and intention. Over the last decade it has become a very active research field that deals with face detection and tracking facial feature detection face recognition facial expression and emotion recognition face coding and virtual face synthesis. With the introduction of new powerful machine learning techniques statistical classification methods and complex deformable models recent progresses have made possible a large number of applications in areas such as image retrieval surveillance and biometrics visual speech understanding virtual characters for e-learning online marketing or entertainment intelligent human-computer interaction and others. However much remains to be done to provide more robust systems especially when dealing with pose and illumination changes in complex natural scenes. If most approaches focus naturally on processing from still images emerging techniques may also consider different inputs. For .