Take a sneak peek at the new NIST.gov and let us know what you think!
(Please note: some content may not be complete on the beta site.).
NIST Authors in Bold
|Author(s):||Afzal A. Godil; Sanford P. Ressler; Patrick J. Grother;|
|Title:||Face Recognition using 3D Facial Shape and Color Map Information: Comparison and Combination|
|Published:||April 30, 2004|
|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.|
|Conference:||Biometric Technology for Human Identification|
|Proceedings:||Proceedings of the SPIE (2004)|
|Pages:||pp. 351 - 361|
|Dates:||April 12-14, 2004|
|Keywords:||3D Face recognition, PCA, fusion, multimodal, biometric, CAESAR anthropometric database|
|PDF version:||Click here to retrieve PDF version of paper (325KB)|