Title :
Detection of eye locations in unconstrained visual images
Author :
Kothari, Ravi ; Mitchell, Jason L.
Author_Institution :
Dept. of Electr. & Comput. Eng. & Comput. Sci., Cincinnati Univ., OH, USA
Abstract :
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
Keywords :
face recognition; feature extraction; handicapped aids; image segmentation; tracking; user interfaces; computational approach; continuity; dark iris; eye locations detection; flow field characteristics; gaze angle determination; human eyes; human point-of-regard tracking; light sclera; monoscopic gray level images; potential candidate locations; spatial information; spatial processing; temporal information; unconstrained visual images; Cameras; Computer science; Data mining; Eyes; Filters; Head; Humans; Iris; Neural networks; Psychology;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560546