TY - GEN
T1 - Profile-based face recognition
AU - Kakadiaris, I. A.
AU - Abdelmunim, H.
AU - Yang, W.
AU - Theoharis, T.
PY - 2008
Y1 - 2008
N2 - In this paper, we introduce a new system for profilebased face recognition. The specific scenario involves a driver entering a gated area and using his/her sideview image (the driver remains seated in the vehicle) as identification. The system has two modes: enrollment and identification. In the enrollment mode, 3D face models of subjects are acquired and profiles extracted under different poses and stored to form a gallery database. In the identification mode, 2D images are acquired and the corresponding planar profiles are extracted and used as probes. Then, probes are matched to the gallery profiles to determine identity. The matching is accomplished using implicit shape registration via the vector distance functions. In our experiments, the approach using implicit registration exhibited higher accuracy than the iterative closest point methodology due to the use of more general transformations. The performance of our system is illustrated using a variety of databases.
AB - In this paper, we introduce a new system for profilebased face recognition. The specific scenario involves a driver entering a gated area and using his/her sideview image (the driver remains seated in the vehicle) as identification. The system has two modes: enrollment and identification. In the enrollment mode, 3D face models of subjects are acquired and profiles extracted under different poses and stored to form a gallery database. In the identification mode, 2D images are acquired and the corresponding planar profiles are extracted and used as probes. Then, probes are matched to the gallery profiles to determine identity. The matching is accomplished using implicit shape registration via the vector distance functions. In our experiments, the approach using implicit registration exhibited higher accuracy than the iterative closest point methodology due to the use of more general transformations. The performance of our system is illustrated using a variety of databases.
UR - http://www.scopus.com/inward/record.url?scp=67650650005&partnerID=8YFLogxK
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U2 - 10.1109/AFGR.2008.4813370
DO - 10.1109/AFGR.2008.4813370
M3 - Conference contribution
AN - SCOPUS:67650650005
SN - 9781424421541
T3 - 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
BT - 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
T2 - 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
Y2 - 17 September 2008 through 19 September 2008
ER -