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A Novel Two-Step Method for Stereo Vision Algorithm to Reduce Search Space
2018 (English)In: 26th Iranian Conference on Electrical Engineering, ICEE 2018, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 1681-1686Conference paper, Published paper (Refereed)
Abstract [en]

Stereo vision is a crucial algorithm in depth detection. By comparing images of a scene from two points, the relative position of objects is extracted. Human's vision system uses this relative shift between the left and right eyes to estimate the depth of information. The main goal of stereo vision is to determine the distance between objects in the scene or, in other words, to obtain depth information. This paper presents a two-step method to reduce the runtime and maintain accuracy of the stereo vision algorithm. Due to the data dependency, its implementation in parallel reduces performance. We have implemented this method for the different values of maximum disparity and window sizes. The simulation result shows that the proposed method is more than 6X faster than the common stereo vision. We have also implemented this method using Compute Unified Device Architecture (CUDA) on a Graphics Processing Unit (GPU), and we have shown that due to data dependency, this method does not work well on the Graphics Processing Unit.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2018. p. 1681-1686
Keywords [en]
CUDA, GPGPU, Real-time application, Stereo vision, Computer graphics, Computer graphics equipment, Graphics processing unit, Program processors, Stereo image processing, Compute Unified Device Architecture(CUDA), Depth information, Graphics Processing Unit (GPU), Relative positions, Stereo vision algorithms
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-247170DOI: 10.1109/ICEE.2018.8472449Scopus ID: 2-s2.0-85055667011ISBN: 9781538649169 (print)OAI: oai:DiVA.org:kth-247170DiVA, id: diva2:1313935
Conference
26th Iranian Conference on Electrical Engineering, ICEE 2018, 8 May 2018 through 10 May 2018
Note

QC 20190507

Available from: 2019-05-07 Created: 2019-05-07 Last updated: 2019-05-07Bibliographically approved

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Daneshtalab, Masoud

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf