Conference contribution


A Prototype of an Adaptive Computer Vision Algorithm on MPSoC Architecture


Publication Details
Author(s): Sousa E, Tanase AP, Hannig F, Teich J
Title edited volumes: Conference on Design and Architectures for Signal and Image Processing, DASIP
Publisher: IEEE Press
Publishing place: New York, NY, USA
Publication year: 2013
Conference Proceedings Title: Proc. 2013 Conference on Design and Architectures for Signal and Image Processing
Pages range: 361-362
ISBN: 979-10-92279-02-3
ISSN: 2164-9766

Event details
Event: 2013 Conference on Design and Architectures for Signal and Image Processing (DASIP)
Event location: Cagliari
Start date of the event: 08/10/2013
End date of the event: 10/10/2013

Abstract

Continuous software and hardware innovations impose on the one hand a high degree of flexibility from an algorithm and on the other hand it requires that a given processing architecture has the capability to adapt to changing computation patterns at run-time. In this work, we demonstrate how a computer vision application can adapt itself at runtime in order to satisfy different requirements of quality and throughput. For that, we consider an implementation of the Harris Corner Detector on an MPSoC (Multi-Processor System-on-Chip) architecture composed of a quad-core RISC processor and one accelerator based on a programmable massively parallel processor array.



How to cite
APA: Sousa, E., Tanase, A.-P., Hannig, F., & Teich, J. (2013). A Prototype of an Adaptive Computer Vision Algorithm on MPSoC Architecture. In Proc. 2013 Conference on Design and Architectures for Signal and Image Processing (pp. 361-362). New York, NY, USA: IEEE Press.

MLA: Sousa, Ericles, et al. "A Prototype of an Adaptive Computer Vision Algorithm on MPSoC Architecture." Proceedings of the 2013 Conference on Design and Architectures for Signal and Image Processing (DASIP), Cagliari New York, NY, USA: IEEE Press, 2013. 361-362.

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