Gaze data collection with the off-the-shelf devices
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Gabor directional binary pattern: an image descriptor for gaze estimation
EURASIP Journal on Advances in Signal Processing
Discrimination of gaze directions using low-level eye image features
Proceedings of the 1st international workshop on pervasive eye tracking & mobile eye-based interaction
Towards pervasive eye tracking using low-level image features
Proceedings of the Symposium on Eye Tracking Research and Applications
Point of gaze estimation through corneal surface reflection in an active illumination environment
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
3D head pose and gaze tracking and their application to diverse multimodal tasks
Proceedings of the 15th ACM on International conference on multimodal interaction
Learning gaze biases with head motion for head pose-free gaze estimation
Image and Vision Computing
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This paper presents an online learning algorithm for appea- rance-based gaze estimation that allows free head movement in a casual desktop environment. Our method avoids the lengthy calibration stage using an incremental learning approach. Our system keeps running as a background process on the desktop PC and continuously updates the estimation parameters by taking user's operations on the PC monitor as input. To handle free head movement of a user, we propose a pose-based clustering approach that efficiently extends an appearance manifold model to handle the large variations of the head pose. The effectiveness of the proposed method is validated by quantitative performance evaluation with three users.