3D interpretation of conics and orthogonality
CVGIP: Image Understanding
Interpretation of conic motion and its applications
International Journal of Computer Vision
Spatial Localization Of Modelled Objects Of Revolution In Monocular Perspective Vision
ECCV '90 Proceedings of the First European Conference on Computer Vision
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Dual-State Parametric Eye Tracking
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
A Probabilistic Framework for Rigid and Non-Rigid Appearance Based Tracking and Recognition
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
An Algorithm for Real-Time Stereo Vision Implementation of Head Pose and Gaze Direction Measurement
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Non-Contact Eye Gaze Tracking System by Mapping of Corneal Reflections
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Gaze Manipulation for One-to-one Teleconferencing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Eye Gaze Estimation from a Single Image of One Eye
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
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This paper describes a novel method to estimate visual direction from a single monocular image with “two-circle” algorithm We assume that the visual direction of both eyes is parallel and iris boundaries are circles in 3-D space Our “two-circle” algorithm can estimate the normal vector of the supporting plane of two iris boundaries, from which the direction of the visual direction can be calculated Most existing gaze estimation algorithms require eye corners and some heuristic knowledge about the structure of the eye as well as the iris contours In contrast to the exiting methods, ours does not use that additional information Another advantage of our algorithm is that it does not require the focal length, therefore, it is capable of estimating the visual direction from an image taken by an active camera The extensive experiments over simulated images and real images demonstrate the robustness and the effectiveness of our method.