TY - GEN
T1 - Biometric driver authentication based on 3D face recognition for telematics applications
AU - Moon, Hyeonjoon
AU - Lee, Kisung
PY - 2007
Y1 - 2007
N2 - In this paper we developed driver authentication system based on face recognition. Since 2D based face recognition has been shown its structural limitation, 3D model based approach for face recognition has been spotlighted as a robust solution under variant conditions of pose and illumination. Since a generative 3D face model consists of a large number of vertices, a 3D model based face recognition system is generally inefficient in computation time. In this paper, we propose a novel 3D face representation algorithm to reduce the number of vertices and optimize its computation time. Finally, we evaluate the performance of proposed algorithm with the Korean face database collected using a stereo-camera based 3D face capturing device. In addition, various decision making similarity measures were explored for final results. Our experimental results indicated that the algorithm is robust for driver authentication inside the vehicle and is also reasonably fast for real-time processing.
AB - In this paper we developed driver authentication system based on face recognition. Since 2D based face recognition has been shown its structural limitation, 3D model based approach for face recognition has been spotlighted as a robust solution under variant conditions of pose and illumination. Since a generative 3D face model consists of a large number of vertices, a 3D model based face recognition system is generally inefficient in computation time. In this paper, we propose a novel 3D face representation algorithm to reduce the number of vertices and optimize its computation time. Finally, we evaluate the performance of proposed algorithm with the Korean face database collected using a stereo-camera based 3D face capturing device. In addition, various decision making similarity measures were explored for final results. Our experimental results indicated that the algorithm is robust for driver authentication inside the vehicle and is also reasonably fast for real-time processing.
KW - 3D face recognition
KW - 3D model
KW - Biometrics
KW - Driver authentication
KW - Driver identification
KW - Telematics application
UR - http://www.scopus.com/inward/record.url?scp=38149020102&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38149020102&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-73279-2_53
DO - 10.1007/978-3-540-73279-2_53
M3 - Conference contribution
AN - SCOPUS:38149020102
SN - 9783540732785
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 473
EP - 480
BT - Universal Access in Human-Computer Interaction
PB - Springer Verlag
T2 - 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007
Y2 - 22 July 2007 through 27 July 2007
ER -