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)
Conference Dates: April 12-14, 2004
Conference Location: Orlando, FL
Conference Title: Biometric Technology for Human Identification
Pub Type: Conferences
3D Face recognition, PCA, fusion, multimodal, biometric, CAESAR anthropometric database