Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Implicit Calibration of a Remote Gaze Tracker
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 8 - Volume 08
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
A software framework for simulating eye trackers
Proceedings of the 2008 symposium on Eye tracking research & applications
Taxonomic study of polynomial regressions applied to the calibration of video-oculographic systems
Proceedings of the 2008 symposium on Eye tracking research & applications
Eye gaze tracking techniques for interactive applications
Computer Vision and Image Understanding - Special issue on eye detection and tracking
A novel non-intrusive eye gaze estimation using cross-ratio under large head motion
Computer Vision and Image Understanding - Special issue on eye detection and tracking
Computer Vision and Image Understanding - Special issue on eye detection and tracking
In the Eye of the Beholder: A Survey of Models for Eyes and Gaze
IEEE Transactions on Pattern Analysis and Machine Intelligence
Augmenting the robustness of cross-ratio gaze tracking methods to head movement
Proceedings of the Symposium on Eye Tracking Research and Applications
Error characterization and compensation in eye tracking systems
Proceedings of the Symposium on Eye Tracking Research and Applications
Analysing the potential of adapting head-mounted eye tracker calibration to a new user
Proceedings of the Symposium on Eye Tracking Research and Applications
Study of Polynomial Mapping Functions in Video-Oculography Eye Trackers
ACM Transactions on Computer-Human Interaction (TOCHI)
Improving Head Movement Tolerance of Cross-Ratio Based Eye Trackers
International Journal of Computer Vision
A cluster information navigate method by gaze tracking
Proceedings of the adjunct publication of the 26th annual ACM symposium on User interface software and technology
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Homography normalization is presented as a novel gaze estimation method for uncalibrated setups. The method applies when head movements are present but without any requirements to camera calibration or geometric calibration. The method is geometrically and empirically demonstrated to be robust to head pose changes and despite being less constrained than cross-ratio methods, it consistently performs favorably by several degrees on both simulated data and data from physical setups. The physical setups include the use of off-the-shelf web cameras with infrared light (night vision) and standard cameras with and without infrared light. The benefits of homography normalization and uncalibrated setups in general are also demonstrated through obtaining gaze estimates (in the visible spectrum) using only the screen reflections on the cornea.