New eye contact correction using radial basis function for wide baseline videoconference system

Authors:
Xiaozhou Zhou;Pierre Boulanger
Affiliations:
Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada;Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada
Venue:
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Year:
2012

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Abstract

In this paper, we introduce a novel eye contact correction method for videoconference systems with wide baseline. In this system, assistant cameras are installed on each side of the monitor to help capture the views from left side and right side. A pattern with random dots and Radial Basis Function (RBF) interpolation are used to help create precise disparity maps that is then used for re-projection. The interpolated views show a smooth transit among cameras on two sides. The experimental results also demonstrate that the proposed method could be extended to produce more robust and accurate disparity maps than most of the existing algorithms from regular stereo images.