A Prototype of an Adaptive Computer Vision Algorithm on MPSoC Architecture

Beitrag bei einer Tagung


Details zur Publikation

Autor(en): Sousa É, Tanase AP, Hannig F, Teich J
Titel Sammelwerk: Conference on Design and Architectures for Signal and Image Processing, DASIP
Verlag: IEEE Press
Verlagsort: New York, NY, USA
Jahr der Veröffentlichung: 2013
Tagungsband: Proc. 2013 Conference on Design and Architectures for Signal and Image Processing
Seitenbereich: 361-362
ISBN: 979-10-92279-02-3
ISSN: 2164-9766


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.



FAU-Autoren / FAU-Herausgeber

Hannig, Frank PD Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Sousa, Éricles
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Tanase, Alexandru-Petru Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Teich, Jürgen Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


Zitierweisen

APA:
Sousa, É., 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). Cagliari, IT: New York, NY, USA: IEEE Press.

MLA:
Sousa, Éricles, 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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Zuletzt aktualisiert 2018-09-08 um 23:11