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A testbed for distributed detection ofkeypoints and extraction of descriptors forthe Speeded-Up-Robust-Features (SURF)algorithm
KTH, School of Electrical Engineering (EES), Communication Networks.
2013 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Detecting keypoints and computing descriptors needed in an imagerecognition algorithm are tasks that require substantial processing powerif they are to be executed in a short time span. If a network of sensornodes is used to capture the images to be processed, then the sensor nodescould be used to perform the actual processing. The system would dis-tribute the computing tasks to the available nodes in the network, so thatthe computing load can be divided among the nodes. By this, the com-puting time could possibly still be kept low, despite the large differencein available computing power between a rack-server and a sensor node.This report describes the implementation of a testbed for the evaluationof distributed processing of visual features. The testbed is implementedin C++ using creditcard sized computers and Zigbee USB units. Com-munication between nodes utilizes ASN.1 defined types. The detectionand extraction stage use an implementation of the SURF algorithm fromOpenCV. Results are sent for matching to a server using a TCP-socketin the sink node. The system is evaluated in terms of data transmissionprotocol efficiency, and time spent on transmitting data vs. computation.

Place, publisher, year, edition, pages
2013.
Series
EES Examensarbete / Master Thesis
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-141475OAI: oai:DiVA.org:kth-141475DiVA: diva2:697083
Educational program
Master of Science - Wireless Systems
Supervisors
Examiners
Available from: 2014-02-17 Created: 2014-02-17 Last updated: 2014-02-17Bibliographically approved

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fulltext(2404 kB)205 downloads
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Electrical Engineering, Electronic Engineering, Information Engineering

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CiteExportLink to record
Permanent link

Direct link
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