Gaze estimation using morphable models

Author

Rikert, Thomas D. ; Jones, Michael J.

Author_Institution

Digital Equipment Corp., Cambridge, MA, USA

fYear

1998

fDate

14-16 Apr 1998

Firstpage

436

Lastpage

441

Abstract

The paper presents preliminary work on a novel technique for gaze estimation from a single image. The goal is to provide rough estimates of where a person is looking at a monitor. Many applications for human-computer interaction are possible for such a technique. The approach uses the morphable model framework of Jones and Poggio (1998) to model a region around the eyes of a person. After matching this model to an input image of a person´s eye region, the resulting model parameters are sent to a neural network which approximates the screen coordinates being viewed. The system is user independent and can handle changes in both head orientation and iris location. Currently the system is not real-time. Future work will focus on improving the speed of the system

Keywords

image matching; image segmentation; neural nets; eye region modelling; gaze estimation; head orientation; human-computer interaction; iris location; model parameters; monitor; morphable models; neural network; screen coordinates; single image; Cameras; Detectors; Eyes; Face detection; Facial animation; Head; Impedance matching; Iris; Monitoring; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on

Conference_Location

Nara

Print_ISBN

0-8186-8344-9

Type

conf

DOI

10.1109/AFGR.1998.670987

Filename

670987