Individual facial expression transferring using Active Appearance Model and FAP in MPEG-4

Author

Lei, Likun ; Miao, Zhenjiang

Author_Institution

Beijing Jiaotong Univ., Beijing, China

fYear

2010

fDate

9-11 April 2010

Firstpage

150

Lastpage

154

Abstract

This paper presents a facial expression transferring system. The inputs of the system are an expression picture and a neutral picture of a single frontal face, which are captured by an ordinary video camera. And the output is a 3D individual face with the same expression. We design and implement the system using FDPs and FAPs in MPEG-4 and the Active Appearance Models (AAMs) comprehensively. Firstly, Adaboost method is used to detect the face. Then 68 feature points of the face are located with the algorithm based on active appearance models (AAM). With these feature points and according to the MPEG-4 standard, 2D facial expression feature data are registered to FAPs in MPEG-4 by image normalization and feature alignment. After that, the FAPs can be used to drive the MPEG-4 compatible models and conduct 3D face with the corresponding expression.

Keywords

face recognition; feature extraction; image registration; solid modelling; 3D face; Adaboost; FAP; FDP; MPEG-4 standard; active appearance model; facial expression transferring system; feature alignment; image normalization; video camera; Active appearance model; Cameras; Cloning; FETs; Face detection; Facial animation; Facial features; Financial advantage program; Humans; MPEG 4 Standard; FAP; FDP; MPEG-4; active appearance models; expression cloning; facial expression transferring;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Signal Processing (IASP), 2010 International Conference on

Conference_Location

Zhejiang

Print_ISBN

978-1-4244-5554-6

Electronic_ISBN

978-1-4244-5556-0

Type

conf

DOI

10.1109/IASP.2010.5476143

Filename

5476143