DocumentCode :
3131180
Title :
Modelling of facial features and its applications
Author :
Shab ; Marshall, S.
Author_Institution :
Cambridge Univ., UK
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
634
Abstract :
It has been demonstrated by linear regression that contrary to current thinking the relationship between the mouth width and lower lip depth is one of negative association. Early results indicate a strong case for a linear model. Random generation of mouth templates from this model show a good fit to typical image data. An application has been presented which is able to locate and model the lower lip and decide whether a mouth image is open or closed. The parameters of the model are used to classify the located mouth shape into one of a predetermined set. Thus this subsystem/component can be incorporated into existing lip sync systems, where given both streams of data and the knowledge gained from the above system, it would be possible to obtain a better match between the speech and image data in multi-dimensional vector space
Keywords :
gesture recognition; facial features; image data; linear regression; lip sync systems; lower lip depth; mouth templates; mouth width; multi-dimensional vector space; random generation;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing and Its Applications, 1999. Seventh International Conference on (Conf. Publ. No. 465)
Conference_Location :
Manchester
Print_ISBN :
0-85296-717-9
Type :
conf
DOI :
10.1049/cp:19990400
Filename :
791137
Link To Document :
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