Robust Gaze Tracking Method for Stereoscopic Virtual Reality Systems
Identifieur interne : 005859 ( Main/Merge ); précédent : 005858; suivant : 005860Robust Gaze Tracking Method for Stereoscopic Virtual Reality Systems
Auteurs : Chul Lee [Corée du Sud] ; Ryoung Park [Corée du Sud] ; Cheol Whang [Corée du Sud] ; Junseok Park [Corée du Sud]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: In this paper, we propose a new face and eye gaze tracking method that works by attaching gaze tracking devices to stereoscopic shutter glasses. This paper presents six advantages over previous works. First, through using the proposed method with stereoscopic VR systems, users feel more immersed and comfortable. Second, by capturing reflected eye images with a hot mirror, we were able to increase eye gaze accuracy in a vertical direction. Third, by attaching the infrared passing filter and using an IR illuminator, we were able to obtain robust gaze tracking performance irrespective of environmental lighting conditions. Fourth, we used a simple 2D-based eye gaze estimation method based on the detected pupil center and the ‘geometric transform’ process. Fifth, to prevent gaze positions from being unintentionally moved by natural eye blinking, we discriminated between different kinds of eye blinking by measuring pupil sizes. This information was also used for button clicking or mode toggling. Sixth, the final gaze position was calculated by the vector summation of face and eye gaze positions and allowing for natural face and eye movements. Experimental results showed that the face and eye gaze estimation error was less than one degree.
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DOI: 10.1007/978-3-540-73110-8_76
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This paper presents six advantages over previous works. First, through using the proposed method with stereoscopic VR systems, users feel more immersed and comfortable. Second, by capturing reflected eye images with a hot mirror, we were able to increase eye gaze accuracy in a vertical direction. Third, by attaching the infrared passing filter and using an IR illuminator, we were able to obtain robust gaze tracking performance irrespective of environmental lighting conditions. Fourth, we used a simple 2D-based eye gaze estimation method based on the detected pupil center and the ‘geometric transform’ process. Fifth, to prevent gaze positions from being unintentionally moved by natural eye blinking, we discriminated between different kinds of eye blinking by measuring pupil sizes. This information was also used for button clicking or mode toggling. Sixth, the final gaze position was calculated by the vector summation of face and eye gaze positions and allowing for natural face and eye movements. Experimental results showed that the face and eye gaze estimation error was less than one degree.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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