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A Massively Parallel Face Recognition System
EURASIP Journal on Embedded Systems volume 2007, Article number: 072316 (2006)
Abstract
We present methods for processing the LBPs (local binary patterns) with a massively parallel hardware, especially with CNN-UM (cellular nonlinear network-universal machine). In particular, we present a framework for implementing a massively parallel face recognition system, including a dedicated highly accurate algorithm suitable for various types of platforms (e.g., CNN-UM and digital FPGA). We study in detail a dedicated mixed-mode implementation of the algorithm and estimate its implementation cost in the view of its performance and accuracy restrictions.
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Lahdenoja, O., Laiho, M., Maunu, J. et al. A Massively Parallel Face Recognition System. J Embedded Systems 2007, 072316 (2006). https://doi.org/10.1155/2007/72316
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DOI: https://doi.org/10.1155/2007/72316
Keywords
- Face Recognition
- Recognition System
- Control Structure
- Local Binary Pattern
- Electronic Circuit