TY - GEN
T1 - Robust open-set face recognition for small-scale convenience applications
AU - Gao, Hua
AU - Ekenel, Hazim Kemal
AU - Stiefelhagen, Rainer
PY - 2010
Y1 - 2010
N2 - In this paper, a robust real-world video based open-set face recognition system is presented. This system is designed for general small-scale convenience applications, which can be used for providing customized services. In the developed prototype, the system identifies a person in question and conveys customized information according to the identity. Since it does not require any cooperation of the users, the robustness of the system can be easily affected by the confounding factors. To overcome the pose problem, we generated frontal view faces with a tracked 2D face model. We also employed a distance metric to assess the quality of face model tracking. A local appearance-based face representation was used to make the system robust against local appearance variations. We evaluated the system's performance on a face database which was collected in front of an office. The experimental results on this database show that the developed system is able to operate robustly under real-world conditions.
AB - In this paper, a robust real-world video based open-set face recognition system is presented. This system is designed for general small-scale convenience applications, which can be used for providing customized services. In the developed prototype, the system identifies a person in question and conveys customized information according to the identity. Since it does not require any cooperation of the users, the robustness of the system can be easily affected by the confounding factors. To overcome the pose problem, we generated frontal view faces with a tracked 2D face model. We also employed a distance metric to assess the quality of face model tracking. A local appearance-based face representation was used to make the system robust against local appearance variations. We evaluated the system's performance on a face database which was collected in front of an office. The experimental results on this database show that the developed system is able to operate robustly under real-world conditions.
UR - http://www.scopus.com/inward/record.url?scp=78349253141&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-15986-2_40
DO - 10.1007/978-3-642-15986-2_40
M3 - Conference contribution
AN - SCOPUS:78349253141
SN - 3642159850
SN - 9783642159855
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 393
EP - 402
BT - Pattern Recognition - 32nd DAGM Symposium, Proceedings
T2 - 32nd Annual Symposium of the German Association for Pattern Recognition, DAGM 2010
Y2 - 22 September 2010 through 24 September 2010
ER -