DocumentCode
2467409
Title
Mouth motion learning and generating from observation
Author
Hong, Pengyu ; Huang, Thomas ; Lin, Xueyin
Author_Institution
Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA
fYear
1998
fDate
7-9 Dec 1998
Firstpage
415
Lastpage
420
Abstract
This paper presents a system for analyzing and generating human mouth motion. We apply model-based tracking to a set of typical mouth image sequences and obtain model motion sequences, which are used to build the mouth motion space by applying principal component analysis (PCA). Given an abstract description of the mouth motion in the mouth motion space, our system can generate a new mouth motion image sequence
Keywords
image motion analysis; image sequences; principal component analysis; tracking; abstract description; human mouth motion analysis; model-based tracking; motion sequences; mouth image sequences; mouth motion generation; mouth motion learning; mouth motion space; observation; principal component analysis; Data mining; Face detection; Facial animation; Image motion analysis; Image sequence analysis; Image sequences; Motion analysis; Mouth; Principal component analysis; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Signal Processing, 1998 IEEE Second Workshop on
Conference_Location
Redondo Beach, CA
Print_ISBN
0-7803-4919-9
Type
conf
DOI
10.1109/MMSP.1998.738971
Filename
738971
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