An automatic system for model-based coding of faces

Author

Moghaddam, Baback ; Pentland, Alex

Author_Institution

Media Lab., MIT, Cambridge, MA, USA

fYear

1995

fDate

28-30 Mar 1995

Firstpage

362

Lastpage

370

Abstract

We present a fully automatic system for 2D model-based image coding of human faces for potential applications such as video telephony, database image compression, and face recognition. The system operates by locating a face in the input image, normalizing its scale and geometry and representing it in terms of a compact parametric image model obtained with a Karhunen-Loeve basis. This leads to a compact representation of the face that can be used for both recognition as well as image compression. Good-quality facial images are automatically generated using approximately 100-bytes worth of encoded data. The system has been successfully tested on a database of nearly 2000 facial photographs

Keywords

data compression; face recognition; image coding; image representation; transform coding; transforms; videotelephony; visual databases; 2D model-based image coding; Karhunen-Loeve basis; automatic system; database image compression; encoded data; face recognition; face representation; facial images; facial photographs; human faces; image compression; image representation; input image; model-based coding; parametric image model; video telephony; Face recognition; Geometry; Humans; Image coding; Image databases; Image recognition; Solid modeling; Spatial databases; Telephony; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Compression Conference, 1995. DCC '95. Proceedings

Conference_Location

Snowbird, UT

ISSN

1068-0314

Print_ISBN

0-8186-7012-6

Type

conf

DOI

10.1109/DCC.1995.515526

Filename

515526