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» Eye Tracking Using Markov Models
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ICCV
2009
IEEE
15 years 14 days ago
Using machine learning to predict where people look
For many applications in graphics, design, and human computer interaction, it is essential to understand where humans look in a scene. Where eye tracking devices are not a viable o...
Tilke Judd, Krista Ehinger, Fr´edo Durand, Antoni...
CVPR
2007
IEEE
14 years 9 months ago
Automated Individualization of Deformable Eye Region Model and Its Application to Eye Motion Analysis
This paper proposes a method of automated individualization of eye region model. The eye region model has been proposed in past research that parameterizes both the structure and ...
Tsuyoshi Moriyama, Takeo Kanade
ICCV
2009
IEEE
13 years 5 months ago
Learning to predict where humans look
For many applications in graphics, design, and human computer interaction, it is essential to understand where humans look in a scene. Where eye tracking devices are not a viable ...
Tilke Judd, Krista A. Ehinger, Frédo Durand...
ICMCS
2007
IEEE
208views Multimedia» more  ICMCS 2007»
13 years 11 months ago
A Cognitive and Unsupervised Map Adaptation Approach to the Recognition of the Focus of Attention from Head Pose
In this paper, the recognition of the visual focus of attention (VFOA) of meeting participants (as defined by their eye gaze direction) from their head pose is addressed. To this ...
Jean-Marc Odobez, Sileye O. Ba
ICPR
2008
IEEE
14 years 1 months ago
3D gaze estimation with a single camera without IR illumination
This paper proposes a 3D eye gaze estimation and tracking algorithm based on facial feature tracking using a single camera. Instead of using the infrared(IR) lights and the cornea...
Jixu Chen, Qiang Ji