E. Wood, T. Baltrušaitis, L.-P. Morency, P. Robinson and A. Bulling, A 3D Morphable Model of the Eye Region, In Proceedings of the Annual Conference of the European Association of Computer Graphics (EuroGraphics), 2016
The eyes and their movements convey our attention, indicate our interests, and play a key role in communicating social and emotional information. Estimating eye gaze is, therefore, a significant problem for computer vision, with applications in social signal analysis, health behavior informatics, and gaze-based interfaces. Estimating gaze remotely under unconstrained lighting conditions and dramatic head-pose variations without specialty equipment is a very challenging problem with broad applications.
In our work, we explore two types of methods for tackling the problem: appearance-based and morphable model-based. Appearance-based methods that directly estimate gaze from an eye image have recently improved upon person-independent and device-independent gaze estimation by learning invariances from large amounts of labeled training data. 3D morphable models are a powerful tool as they combine a model of face variation with a model of image formation, allowing pose and illumination invariance. We further explore the use of computer graphics methods to generate training data for appearance and morphable model-based systems.