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Erschienen in:
Method of Big-Graph Partitioning Using a Skeleton Graph Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

6. Face Recognition Using Maxeler DataFlow

verfasst von : Tijana Sustersic, Aleksandra Vulovic, Nemanja Trifunovic, Ivan Milankovic, Nenad Filipovic

Erschienen in: Exploring the DataFlow Supercomputing Paradigm

Verlag: Springer International Publishing

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Abstract

Face recognition has its theoretical and practical value in daily life. In this chapter, we will present face recognition application and discuss its implementation using the Maxeler DataFlow paradigm. We first give theoretical background and overview of the existing solutions in the area of algorithms for face recognition. Maxeler card is based on FPGA technology and therefore a brief explanation of the main FPGA characteristics are given and the comparison is made with GPU technology. After that, we analyze one of the PCA algorithms called Eigenface for its application, first on PC and then on Maxeler card. The results show that this algorithm is suitable for implementing on Maxeler card using the dataflow paradigm. By analyzing aforementioned algorithm, it could be seen that execution timing could be reduced, which is especially important when working with large databases. We could conclude that the use of the Maxeler DataFlow paradigm provides advantages in comparison to PC application, resulting in reduction in memory access latency and increase in power efficiency, due to the execution of instructions in natural sequence as data propagates through the algorithm. Since there are many technical challenges (e.g., viewpoint, lightening, facial expression, different haircut, presence of glasses, hats, etc.) affecting successful recognition, this area is to be further examined and algorithms could be adapted for dataflow implementation.

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Vorheriges Kapitel Application of Maxeler DataFlow Supercomputing to Spherical Code Design
Nächstes Kapitel Biomedical Images Processing Using Maxeler DataFlow Engines
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Metadaten
Titel
Face Recognition Using Maxeler DataFlow
verfasst von
Tijana Sustersic
Aleksandra Vulovic
Nemanja Trifunovic
Ivan Milankovic
Nenad Filipovic
Copyright-Jahr
2019
Buch
Exploring the DataFlow Supercomputing Paradigm

Print ISBN: 978-3-030-13802-8

Electronic ISBN: 978-3-030-13803-5

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-13803-5_6

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