Implementing Gaze-Corrected VideoConferencing

Lack of gaze awareness is a key failure that hinders the widespread acceptance of videoconferencing. GazeMaster is a project which attempts to provide a software solution to gaze awareness and eye contact. Previous publications have described the general approach of GazeMaster. This paper describes our implementation experience, giving more details of our software architecture, and explaining our approach to head modeling. Our results with respect to video, graphics, and networking are solid. Our computer vision technology, while promising, is still immature, and requires further research.