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Towards an Embedded Real-Time High Resolution Vision System
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-7934-6917
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5832-5452
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
2014 (English)In: ADVANCES IN VISUAL COMPUTING (ISVC 2014), PT II / [ed] Bebis, G Boyle, R Parvin, B Koracin, D McMahan, R Jerald, J Zhang, H Drucker, SM Kambhamettu, C ElChoubassi, M Deng, Z Carlson, M, SPRINGER-VERLAG BERLIN , 2014, p. 541-550Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes an approach to image processing for high performance vision systems. Focus is on achieving a scalable method for real-time disparity estimation which can support high resolution images and large disparity ranges. The presented implementation is a non-local matching approach building on the innate qualities of the processing platform which, through utilization of a heterogeneous system, combines low-complexity approaches into performing a high-complexity task. The complementary platform composition allows for the FPGA to reduce the amount of data to the CPU while at the same time promoting the available informational content, thus both reducing the workload as well as raising the level of abstraction. Together with the low resource utilization, this allows for the approach to be designed to support advanced functionality in order to qualify as part of unified image processing in an embedded system.

Place, publisher, year, edition, pages
SPRINGER-VERLAG BERLIN , 2014. p. 541-550
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 8888
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-38383ISI: 000354700300052ISBN: 978-3-319-14364-4 OAI: oai:DiVA.org:mdh-38383DiVA, id: diva2:1182182
Conference
10th International Symposium on Visual Computing (ISVC), DEC 08-10, 2014, Las Vegas, NV
Available from: 2018-02-12 Created: 2018-02-12 Last updated: 2018-02-12Bibliographically approved

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Ekstrand, FredrikEkström, Mikael

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