TY - GEN
T1 - Improvement of facial recognition with composite correlation filters designed with combinatorial optimization
AU - Pinto-Fernández, Sergio
AU - Díaz-Ramírez, Víctor H.
PY - 2012
Y1 - 2012
N2 - The performance of composite correlation filters for pattern recognition depends upon the proper selection of training images. These images are commonly chosen based solely on the experience of the filter designer in an ad-hoc manner. As result, there is no guarantee that the best training images are chosen. In this work, we propose an iterative algorithm based on combinatorial optimization for the synthesis of composite correlation filters optimized for facial recognition. Given a data set of face images the algorithm finds the optimal combination of training images for the synthesis of a composite filter with the best performance in terms of quality metrics. Consequently, facial recognition with correlation filtering is substantially improved. Computer simulation results obtained with the proposed approach are presented and discussed in terms of facial recognition performance and classification efficiency.
AB - The performance of composite correlation filters for pattern recognition depends upon the proper selection of training images. These images are commonly chosen based solely on the experience of the filter designer in an ad-hoc manner. As result, there is no guarantee that the best training images are chosen. In this work, we propose an iterative algorithm based on combinatorial optimization for the synthesis of composite correlation filters optimized for facial recognition. Given a data set of face images the algorithm finds the optimal combination of training images for the synthesis of a composite filter with the best performance in terms of quality metrics. Consequently, facial recognition with correlation filtering is substantially improved. Computer simulation results obtained with the proposed approach are presented and discussed in terms of facial recognition performance and classification efficiency.
KW - Combinatorial optimization
KW - Composite correlation filters
KW - Facial recognition
UR - http://www.scopus.com/inward/record.url?scp=84872466860&partnerID=8YFLogxK
U2 - 10.1117/12.930301
DO - 10.1117/12.930301
M3 - Contribución a la conferencia
AN - SCOPUS:84872466860
SN - 9780819492159
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Optics and Photonics for Information Processing VI
T2 - Optics and Photonics for Information Processing VI
Y2 - 15 August 2012 through 16 August 2012
ER -