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A Massively Parallel Face Recognition System

Olli Lahdenoja, Mika Laiho, Janne Maunu, Ari Paasio, A Massively Parallel Face Recognition System. EURASIP Journal on Embedded Systems - Special Issue on Embedded Vision System , 13, 2007.

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.

BibTeX entry:

@ARTICLE{jLaLaMaPa07a,
  title = {A Massively Parallel Face Recognition System},
  author = {Lahdenoja, Olli and Laiho, Mika and Maunu, Janne and Paasio, Ari},
  journal = {EURASIP Journal on Embedded Systems - Special Issue on Embedded Vision System},
  publisher = {Hindawi Publishing Corporation},
  pages = {13},
  year = {2007},
  keywords = {Local Binary Patterns, LBP, CNN-UM, Face recognition},
}

Belongs to TUCS Research Unit(s): Microelectronics

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