Error Correction Coding: Mathematical Methods and Algorithms
Error Correction Coding: Mathematical Methods and Algorithms
Corneal Imaging System: Environment from Eyes
International Journal of Computer Vision
Hybrid infrared and visible light projection for location tracking
Proceedings of the 20th annual ACM symposium on User interface software and technology
An Incremental Learning Method for Unconstrained Gaze Estimation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Tempest in a Teapot: Compromising Reflections Revisited
SP '09 Proceedings of the 2009 30th IEEE Symposium on Security and Privacy
In the Eye of the Beholder: A Survey of Models for Eyes and Gaze
IEEE Transactions on Pattern Analysis and Machine Intelligence
A state of the art in structured light patterns for surface profilometry
Pattern Recognition
Camera Models and Fundamental Concepts Used in Geometric Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Display-camera calibration using eye reflections and geometry constraints
Computer Vision and Image Understanding
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Learning gaze biases with head motion for head pose-free gaze estimation
Image and Vision Computing
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Eye gaze tracking (EGT) is a common problem with many applications in various fields. While recent methods have achieved improvements in accuracy and usability, current techniques still share several limitations. A major issue is the need for external calibration between the gaze camera system and the scene, which commonly restricts to static planar surfaces and leads to parallax errors. To overcome these issues, the paper proposes a novel scheme that uses the corneal imaging technique to directly analyze reflections from a scene illuminated with structured light. This comprises two major contributions: First, an analytic solution is developed for the forward projection problem to obtain the gaze reflection point (GRP), where light from the point of gaze (PoG) in the scene reflects at the corneal surface into an eye image. We also develop a method to compensate for the individual offset between the optical axis and true visual axis. Second, introducing active coded illumination enables robust and accurate matching at the GRP to obtain the PoG in a scene image, which is the first use of this technique in EGT and corneal reflection analysis. For this purpose, we designed a special high-power IR LED-array projector. Experimental evaluation with a prototype system shows that the proposed scheme achieves considerable accuracy and successfully supports depth-varying environments.