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dc.contributor.authorEnsor, A
dc.contributor.authorHall, S
dc.contributor.editorDelmas, P
dc.contributor.editorWuensche, B
dc.contributor.editorJames, J
dc.date.accessioned2011-12-14T03:27:05Z
dc.date.available2011-12-14T03:27:05Z
dc.date.copyright2011-11-29
dc.date.issued2011-12-14
dc.identifier.citationTwenty-sixth International Conference Image and Vision Computing New Zealand (IVCNZ 2011), Auckland. New Zealand, 2011-11-29 - 2011-12-01
dc.identifier.isbn978-0-473-20281-1
dc.identifier.urihttp://hdl.handle.net/10292/3101
dc.description.abstractWith the rapid advances in mobile technology many mobile devices are capable of capturing high quality images and video with their embedded camera. This paper investigates techniques for real-time processing of the resulting images, particularly on-device utilizing a graphical processing unit. Issues and limitations of image processing on mobile devices are discussed, and the performance of graphical processing units on a range of devices measured through a programmable shader implementation of Canny edge detection.
dc.format.mediumPaperback (978-0-473-20281-1), CD-ROM (978-0-473-20282-8), PDF (978-0-473-20283-5)
dc.publisherUniversity of Auckland
dc.relation.isreplacedby10292/3358
dc.relation.isreplacedbyhttp://hdl.handle.net/10292/3358
dc.relation.urihttp://www.ivs.auckland.ac.nz/ivcnz2011/programme_.php
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version)
dc.titleGPU-based image analysis on mobile devices
dc.typeConference Contribution
dc.rights.accessrightsOpenAccess


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