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A Massively Parallel Face Recognition System

EURASIP Journal on Embedded Systems volume 2007, Article number: 072316 (2006) Cite this article

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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Authors and Affiliations

  1. Department of Information Technology, University of Turku, Joukahaisenkatu 3-5, Turku, 20014, Finland

    Olli Lahdenoja, Mika Laiho, Janne Maunu & Ari Paasio

  2. Turku Centre for Computer Science (TUCS), University of Turku, Joukahaisenkatu 3-5 B, 6th floor, Turku, 20520, Finland

    Olli Lahdenoja & Janne Maunu

Authors
  1. Olli Lahdenoja
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  2. Mika Laiho
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  3. Janne Maunu
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  4. Ari Paasio
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Correspondence to Olli Lahdenoja.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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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