Determining facial expressions in real time

Author

Moses, Yael ; Reynard, David ; Blake, Andrew

Author_Institution

Dept. of Eng. Sci., Oxford Univ., UK

fYear

1995

fDate

20-23 Jun 1995

Firstpage

296

Lastpage

301

Abstract

We suggest an approach to describing and tracking the deformation of facial features. We concentrate on the mouth since its shape is important in detecting emotion. However, we believe that our system could be extended to deal with other facial features. In our system, the mouth is described by a valley contour which is based between the lips. This contour is shown to exist independently of illumination, viewpoint, identity, and expression. We present a real time mouth tracking system that follows this valley. It is shown to be robust to changes in identity, illumination and viewpoint. A simple classification algorithm was found to be sufficient to discriminate between 5 different mouth shapes, with a 100% recognition rate

Keywords

face recognition; image classification; optical tracking; real-time systems; classification algorithm; emotion; facial expressions; facial features; mouth shapes; real time mouth tracking system; recognition rate; valley contour; Biological system modeling; Classification algorithms; Face detection; Face recognition; Facial features; Lighting; Lips; Mouth; Robustness; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, 1995. Proceedings., Fifth International Conference on

Conference_Location

Cambridge, MA

Print_ISBN

0-8186-7042-8

Type

conf

DOI

10.1109/ICCV.1995.466926

Filename

466926