This paper describes a computational approach for accurately determining the location of human eyes in unconstrained monoscopic gray level images. The proposed method is based on exploiting the flow field characteristics that arise due to the presence of a dark iris surrounded by a light sclera. A novel aspect of the proposed method lies in its use of both spatial and temporal information to detect the location of the eyes. The spatial processing utilizes flow field information to select a pool of potential candidate locations for the eyes. Temporal processing uses the principle of continuity to filter out the actual location of the eyes from the pool of potential candidates. Extensions for gaze angle determination, and the tracking of human point-of-regard are indicated.
Kothari and Mitchell REF introduced a voting scheme that detects the location of the eyes using spatial and temporal information based on the fact that the gradient along the boundary of the iris goes outward from the center.
Detection of eye locations in unconstrained visual images
Proceedings of 3rd IEEE International Conference on Image Processing
Proceedings of 3rd IEEE International Conference on Image Processing
Computer Science