TY - JOUR
T1 - Three-dimensional face recognition in the presence of facial expressions
T2 - An annotated deformable model approach
AU - Kakadiaris, Ioannis A.
AU - Passalis, Georgios
AU - Toderici, George
AU - Murtuza, Mohammed N.
AU - Lu, Yunliang
AU - Karampatziakis, Nikos
AU - Theoharis, Theoharis
N1 - Funding Information:
The authors are grateful for the support provided by the Department of Computer Science, University of Houston, the Texas Learning and Computation Center, University of Houston, the Central Intelligence Agency, and the Southwest Public Safety Technology Center, University of Houston.
PY - 2007/4
Y1 - 2007/4
N2 - In this paper, we present the computational tools and a hardware prototype for 3D face recognition. Full automation is provided through the use of advanced multistage alignment algorithms, resilience to facial expressions by employing a deformable model framework, and invariance to 3D capture devices through suitable preprocessing steps. In addition, scalability in both time and space is achieved by converting 3D facial scans into compact metadata. We present our results on the largest known, and now publicly available, Face Recognition Grand Challenge 3D facial database consisting of several thousand scans. To the best of our knowledge, this is the highest performance reported on the FRGC v2 database for the 3D modality.
AB - In this paper, we present the computational tools and a hardware prototype for 3D face recognition. Full automation is provided through the use of advanced multistage alignment algorithms, resilience to facial expressions by employing a deformable model framework, and invariance to 3D capture devices through suitable preprocessing steps. In addition, scalability in both time and space is achieved by converting 3D facial scans into compact metadata. We present our results on the largest known, and now publicly available, Face Recognition Grand Challenge 3D facial database consisting of several thousand scans. To the best of our knowledge, this is the highest performance reported on the FRGC v2 database for the 3D modality.
KW - Face and gesture recognition
KW - Information search and retrieval
UR - http://www.scopus.com/inward/record.url?scp=33947506434&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33947506434&partnerID=8YFLogxK
U2 - 10.1109/TPAMI.2007.1017
DO - 10.1109/TPAMI.2007.1017
M3 - Article
C2 - 17299221
AN - SCOPUS:33947506434
SN - 0162-8828
VL - 29
SP - 640
EP - 649
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
JF - IEEE Transactions on Pattern Analysis and Machine Intelligence
IS - 4
ER -