Designing a SOPC for face recognition using WMPCA algorithm
Abstract
A flexible accelerator hardware for full-search vector quantization (VQ) has been developed as a component for a system on a programmable chip (SoPC) to use in real-time image compression and recognition applications. Nowadays, FPGA and its SoPC (System on Programmable Chip) tools are powerful enough to efficiently develop a flexible hardware accelerator for VQ application. In addition, one of statistical analysis methods, weighted modular principal component analysis, has showed efficiencies in recognition applications. In this paper, a parallel architecture for online face recognition using weighted modular principal component analysis (WMPCA) and its system-on-programmable-chip (SoPC) implementation are discussed.
điểm /
đánh giá
Published
2012-12-07
Issue
Section
ARTILES
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