Facial feature extraction from a video sequence using independent component analysis (ICA)

Author

Choi, Kyung-Yung ; Takaya, Kunio

Author_Institution

Saskatchewan Univ., Saskatoon, Sask., Canada

Volume

1

fYear

2001

fDate

2001

Firstpage

259

Abstract

This paper presents methods for face localization and facial feature extraction from a video image sequence to aid in constructing a 3D face model for animation, a newly added feature in MPEG-4. Face localization is achieved by using human skin color filtering in YCbCr subspace with other relevant facial information. The method of independent component analysis (ICA) is applied to the localized facial images to identify main facial components such as eyes and mouth in the video sequence

Keywords

computer animation; face recognition; feature extraction; filtering theory; image colour analysis; image sequences; statistical analysis; 3D face model construction; ICA; MPEG-4; YCbCr subspace; animation; eyes; face localization; facial feature extraction; human skin color filtering; independent component analysis; localized facial images; mouth; video image sequence; Data mining; Face; Facial animation; Facial features; Humans; Image sequences; Independent component analysis; MPEG 4 Standard; Skin; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers and signal Processing, 2001. PACRIM. 2001 IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-7080-5

Type

conf

DOI

10.1109/PACRIM.2001.953572

Filename

953572