This paper proposes a module based distributed wireless face recognition system by integrating multiple kernel discriminant analysis with face recognition in wireless sensor networks. By maximizing the margin maximization criterion (MMC), we separately perform an iterative scheme for kernel parameter optimization for each module. The simulation on the FERET and CMU PIE face databases shows that our multiple kernel framework and the optimization procedure achieve high recognition performance, compared with single-kernel-based KDDA.
Liu et al. REF proposed a distributed wireless face recognition system, which integrates multiple kernel discriminant analysis with face recognition, and performs an iterative scheme for kernel parameter optimization.
Distributed Face Recognition Using Multiple Kernel Discriminant Analysis in Wireless Sensor Networks
International Journal of Distributed Sensor Networks
Computer Science