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

TL;DR

This study compares 3D facial shape and color map data for face recognition, finding similar performance and demonstrating that combining both modalities significantly improves recognition accuracy.

Contribution

It provides a comparative analysis of 3D surface and color map data for face recognition and explores fusion techniques to enhance performance.

Findings

Recognition performance is similar between 3D surface and color map data.

Fusion of 3D and color information significantly improves recognition accuracy.

Evaluation conducted on a dataset of 200 subjects in different positions.

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 multi-modal 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.