Surface measures for accuracy evaluation in 3d face reconstruction

Authors:
Leonid M. Mestetskiy;Natalia F. Dyshkant;Dmitry Gordeev;M. Sharmila Kumari;B. H. Shekar
Affiliations:
Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia;Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia;Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia;Department of Computer Science & Engineering, PA College of Engineering, Mangalore, Karnataka, India;Department of Computer Science, Mangalore University, Mangalore, Karnataka, India
Venue:
Pattern Recognition
Year:
2012

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Abstract

In this paper, we propose surface based metrics to evaluate the accuracy of the 3D face reconstruction algorithms. The continuous 3D surfaces obtained due to reconstruction algorithms for a 3D face is considered to obtain a numerical estimate. The surface based measures namely the volume of difference, average edge distance and intercept edge distance metrics are proposed. These measures are computed by considering continuous 3D surfaces to ascertain the quality of the reconstruction techniques. Experimental validation of the proposed approach is performed using the data acquired by 2D cameras and 3D scanning technologies.