This paper presents an eye model that was constructed from a geometric simplification of the eye and anthropometric data about eye feature sizes in order to circumvent calibration per individual user. It was designed for efficiently performing uncalibrated eye gaze estimation on a user with frontal head pose. The model was implemented and tested on a database of still images obtained from 5 subjects. It was then compared against theoretical data. The model results in 3◦ of angular gaze estimation error which provides comparable performance to other methods without requiring calibration.

Date of creation, presentation, or exhibit



Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type

Conference Proceeding

Department, Program, or Center

Computer Engineering (KGCOE)


RIT – Main Campus