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3D Gaze Estimation Using RGB-IR Cameras
Moayad Mokatren
,
Tsvi Kuflik
,
Ilan Shimshoni
Department of Information Systems
Research output
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peer-review
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Dive into the research topics of '3D Gaze Estimation Using RGB-IR Cameras'. Together they form a unique fingerprint.
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Keyphrases
Corneal Images
100%
3D Gaze Estimation
100%
RGB-NIR
100%
IR Camera
100%
RGB Image
75%
3D Model
50%
RGB-D Camera
50%
IR Image
50%
Gaze Direction
50%
3D Gaze
50%
Focus of Attention
25%
User Study
25%
Realistic Settings
25%
Eye Tracker
25%
Specific Object
25%
Imaging Systems
25%
Pupil Position
25%
Automatic Calibration
25%
Eyeball
25%
Pupil Detection
25%
Intersection over Union
25%
Deep Learning Algorithm
25%
Mobile Scenarios
25%
Camera Eye
25%
Calibration Process
25%
Corneal Imaging
25%
Pupil Center
25%
Headset
25%
User-focused
25%
Engineering
RGB Image
100%
Gaze Direction
66%
Imaging Systems
33%
Indoor Scenario
33%
Calibration Process
33%
Deep Learning Method
33%
Computer Science
RGB Image
100%
Gaze Direction
66%
Imaging Systems
33%
Mobile Scenario
33%
Calibration Process
33%
Deep Learning Method
33%