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Face Recognition using 3D Facial Shape and Color Map Information: Comparison and Combination

Published

Author(s)

Afzal A. Godil, Sanford P. Ressler, Patrick J. Grother

Abstract

In this paper, we investigate the use of 3D surface geometry for face recognition and compare it to one based on color map information. The 3D surface and color map data are from the CAESAR anthropometric database. We find that the recognition performance is not very different between 3D surface and color map information using a principal component analysis algorithm. We also discuss the different techniques for the combination of the 3D surface and color map information for multimodal recognition by using different fusion approaches and show that there is significant improvement in results. The effectiveness of various techniques is compared and evaluated on a dataset with 200 subjects in two different positions.
Proceedings Title
Proceedings of the SPIE (2004)
Volume
5404
Conference Dates
April 12-14, 2004
Conference Location
Orlando, FL
Conference Title
Biometric Technology for Human Identification

Keywords

3D Face recognition, PCA, fusion, multimodal, biometric, CAESAR anthropometric database

Citation

Godil, A. , Ressler, S. and Grother, P. (2004), Face Recognition using 3D Facial Shape and Color Map Information: Comparison and Combination, Proceedings of the SPIE (2004), Orlando, FL, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=903624 (Accessed October 18, 2021)
Created April 30, 2004, Updated February 19, 2017