TY - GEN
T1 - The impact of specular highlights on 3D-2D face recognition
AU - Christlein, Vincent
AU - Riess, Christian
AU - Angelopoulou, Elli
AU - Evangelopoulos, Georgios
AU - Kakadiaris, Ioannis A.
PY - 2013
Y1 - 2013
N2 - One of the most popular form of biometrics is face recognition. Face recognition techniques typically assume that a face exhibits Lambertian reectance. However, a face often exhibits prominent specularities, especially in outdoor environments. These specular highlights can compromise an identity authentication. In this work, we analyze the impact of such highlights on a 3D-2D face recognition system. First, we investigate three different specularity removal methods as preprocessing steps for face recognition. Then, we explicitly model facial specularities within the face detection system with the Cook-Torrance reectance model. In our experiments, specularity removal increases the recognition rate on an outdoor face database by about 5% at a false alarm rate of 10-3. The integration of the Cook-Torrance model further improves these results, increasing the verification rate by 19% at a FAR of 10-3.
AB - One of the most popular form of biometrics is face recognition. Face recognition techniques typically assume that a face exhibits Lambertian reectance. However, a face often exhibits prominent specularities, especially in outdoor environments. These specular highlights can compromise an identity authentication. In this work, we analyze the impact of such highlights on a 3D-2D face recognition system. First, we investigate three different specularity removal methods as preprocessing steps for face recognition. Then, we explicitly model facial specularities within the face detection system with the Cook-Torrance reectance model. In our experiments, specularity removal increases the recognition rate on an outdoor face database by about 5% at a false alarm rate of 10-3. The integration of the Cook-Torrance model further improves these results, increasing the verification rate by 19% at a FAR of 10-3.
KW - Face recognition
KW - Reectance model
KW - Specular highlights
KW - Specularity removal
UR - http://www.scopus.com/inward/record.url?scp=84881047545&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84881047545&partnerID=8YFLogxK
U2 - 10.1117/12.2019014
DO - 10.1117/12.2019014
M3 - Conference contribution
AN - SCOPUS:84881047545
SN - 9780819495037
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Biometric and Surveillance Technology for Human and Activity Identification X
T2 - Biometric and Surveillance Technology for Human and Activity Identification X
Y2 - 2 May 2013 through 2 May 2013
ER -