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