A Prototype of an Adaptive Computer Vision Algorithm on MPSoC Architecture

Sousa É, Tanase AP, Hannig F, Teich J (2013)

Publication Type: Conference contribution

Publication year: 2013

Publisher: IEEE Press

Edited Volumes: Conference on Design and Architectures for Signal and Image Processing, DASIP

City/Town: New York, NY, USA

Pages Range: 361-362

Conference Proceedings Title: Proc. 2013 Conference on Design and Architectures for Signal and Image Processing

Event location: Cagliari IT

ISBN: 979-10-92279-02-3

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.

Authors with CRIS profile

Ericles Rodrigues Sousa Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Alexandru-Petru Tanase Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Frank Hannig Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Jürgen Teich Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Related research project(s)

Dedizierte massiv parallele Systeme (PARO) Jan. 3, 2000 - Jan. 3, 2003

How to cite

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.

BibTeX: Download