TY - GEN
T1 - Face-voice authentication based on 3D face models
AU - Chetty, Girija
AU - Wagner, Michael
PY - 2006/6/15
Y1 - 2006/6/15
N2 - In this paper we propose fusion of shape and texture information from 3D face models of persons with the acoustic features extracted from spoken utterances, to improve the performance against imposter and replay attacks. Experiments conducted on two multimodal speaking face corpora, VidTIMIT and AVOZES, allowed less than 2 % EERs to be achieved for imposter attacks, and less than 1% for type-1 replay attacks for multimodal feature fusion of acoustic, shape and texture features. For type-2 replay attacks, more difficult type of spoof attacks, less than 7% EER was achieved.
AB - In this paper we propose fusion of shape and texture information from 3D face models of persons with the acoustic features extracted from spoken utterances, to improve the performance against imposter and replay attacks. Experiments conducted on two multimodal speaking face corpora, VidTIMIT and AVOZES, allowed less than 2 % EERs to be achieved for imposter attacks, and less than 1% for type-1 replay attacks for multimodal feature fusion of acoustic, shape and texture features. For type-2 replay attacks, more difficult type of spoof attacks, less than 7% EER was achieved.
KW - Face recognition
KW - Face-voice authentication
KW - 3D face model
UR - http://www.scopus.com/inward/record.url?scp=33744954102&partnerID=8YFLogxK
U2 - 10.1007/11612032_57
DO - 10.1007/11612032_57
M3 - Conference contribution
AN - SCOPUS:33744954102
SN - 9783540312192
VL - 3851
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 559
EP - 568
BT - Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings
PB - Springer
T2 - 7th Asian Conference on Computer Vision, ACCV 2006
Y2 - 13 January 2006 through 16 January 2006
ER -