DocumentCode :
3328157
Title :
A unified approach to coding and interpreting face images
Author :
Lanitis, A. ; Taylor, Camillo J. ; Cootes, T.F.
Author_Institution :
Dept. of Med. Biophys., Manchester Univ., UK
fYear :
1995
fDate :
20-23 Jun 1995
Firstpage :
368
Lastpage :
373
Abstract :
Face images are difficult to interpret because they are highly variable. Sources of variability include individual appearance, 3D pose, facial expression and lighting. We describe a compact parametrised model of facial appearance which takes into account all these sources of variability. The model represents both shape and grey-level appearance and is created by performing a statistical analysis over a training set of face images. A robust multi-resolution search algorithm is used to fit the model to faces in new images. This allows the main facial features to be located and a set of shape and grey-level appearance parameters to be recovered. A good approximation to a given face can be reconstructed using less than 100 of these parameters. This representation can be used for tasks such as image coding, person identification, pose recovery, gender recognition and expression recognition. The system performs well on all the tasks listed above
Keywords :
face recognition; image coding; image recognition; image reconstruction; lighting; search problems; statistical analysis; 3D pose; expression recognition; face image interpretation; face reconstruction; facial appearance; facial expression; gender recognition; grey-level appearance; image coding; lighting; multi-resolution search algorithm; person identification; pose recovery; statistical analysis; variability; Face detection; Face recognition; Facial features; Image coding; Image databases; Image recognition; Image reconstruction; Pattern recognition; Robustness; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1995. Proceedings., Fifth International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-8186-7042-8
Type :
conf
DOI :
10.1109/ICCV.1995.466919
Filename :
466919
Link To Document :
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