Several key problems in model-based image sequence compression by using interframe AUs correlation

Author

Cai, Defu ; Wang, Xiangwen ; Liang, Huiying

Author_Institution

Inst. of Electron., Acad. Sinica, Beijing, China

Volume

2

fYear

1994

fDate

13-16 Nov 1994

Firstpage

409

Abstract

Model-based image coding has received much attention for it could gain a big compression ratio and well form the basis of very low bit rates visual transmissions. Many authors have contributed a lot to this area. However, some key problems are not well solved in practice. In this paper, the human face model and its invariant representation, textural mapping for natural synthesizing of facial images, the occlusion problem in the case of face rotation, real time automatic extraction of face feature points, and a better performance criteria suitable for facial expression analysis/synthesis are discussed. The results obtained by computer simulation are given

Keywords

data compression; feature extraction; image coding; image sequences; image texture; interpolation; compression ratio; computer simulation; face feature points; face rotation; facial expression analysis; facial expression synthesis; facial images; human face model; image coding; interframe AUs correlation; invariant representation; model-based image sequence compression; occlusion problem; performance; real time automatic extraction; textural mapping; visual transmissions; Bit rate; Computer simulation; Face; Feature extraction; Humans; Image analysis; Image coding; Image sequences; Image texture analysis; Performance analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413602

Filename

413602