Combination of kernels applied to face verification
- Resource Type
- Conference
- Authors
- de Diego, Isaac Martin; Conde, Cristina; Serrano, Angel; Cabello, Enrique
- Source
- 2009 16th IEEE International Conference on Image Processing (ICIP) Image Processing (ICIP), 2009 16th IEEE International Conference on. :1241-1244 Nov, 2009
- Subject
- Computing and Processing
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Kernel
Biometrics
Support vector machines
Support vector machine classification
Spatial databases
Face recognition
Protocols
Image databases
Face detection
Testing
Fusion of information
Face Verification
Gabor
Support Vector Machine
- Language
- ISSN
- 1522-4880
2381-8549
In this paper a novel method of information fusion at classifier level is applied to face verification. Three complementary kinds of facial data have been considered: texture, range data and curvature images. Three different kernels have been defined from each representation and finally a combined kernel has been developed. The resulting kernel has been used to train a classifier based on Support Vector Machines and it has been applied to face verification. The method has been deeply tested using the Face Recognition Grand Challenge database. The experiments show that in all cases the combined proposed classifier improves individual classifiers.