A Robust Neural Network Approach for Determining 3D Gaze Position

Abstract

This paper presents a neural-network based calibration method for measuring the 3D eye-gaze position in a stereoscopic display. The method is based on depth computation through local non-linear regression and interpolation using a parameterized self-organizing map (PSOM). A novel, efficient 3D calibration method for this application is introduced. We report… (More)

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Cite this paper

@inproceedings{Xiao2011ARN, title={A Robust Neural Network Approach for Determining 3D Gaze Position}, author={Mei Xiao and Tyler W. Garaas and Marc Pomplun}, year={2011} }