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

Published

April 30, 2004

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

Pub Type

Conferences

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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 9, 2025)