DocumentCode :
3004673
Title :
Automated facial conformation for model-based videophone coding
Author :
Strub, Lyle ; Robinson, John
Author_Institution :
Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
Volume :
2
fYear :
1995
fDate :
23-26 Oct 1995
Firstpage :
587
Abstract :
In order for model-based coding to be used on a head-and-shoulders video sequence, such as would be encountered in a videophone application, it is first necessary to form a model of the head. This model must be correctly conformed to the subject´s face as it appears at the beginning of the video sequence transmission, so the subsequent deformations of the model accurately depict changes in the face and head from frame to frame. This paper proposes a method which allows this conformation to be performed entirely automatically. The method presented utilizes flexible template matching and a steepest-gradient search method to determine the optimal conformation of a generic facial model to represent a given single frame of a face. Results illustrating the success of the method are given and the limitations of the algorithm are discussed
Keywords :
face recognition; image matching; image sequences; image texture; search problems; video coding; videotelephony; algorithm; automated facial conformation; face recognition; flexible template matching; frame; generic facial model; head and shoulders video sequence; model based videophone coding; model deformations; optimal conformation; steepest gradient search method; texture information; video sequence transmission; videophone application; Bit rate; Deformable models; Design engineering; Head; Image coding; Muscles; Search methods; Shape; Systems engineering and theory; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
Type :
conf
DOI :
10.1109/ICIP.1995.537547
Filename :
537547
Link To Document :
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