Image Segmentation On CPU/GPU
but.event.date | 27.04.2017 | cs |
but.event.title | Student EEICT 2017 | cs |
dc.contributor.author | Bravenec, Tomáš | |
dc.date.accessioned | 2020-05-07T09:40:26Z | |
dc.date.available | 2020-05-07T09:40:26Z | |
dc.date.issued | 2017 | cs |
dc.description.abstract | This article is focused on using graphical processing units for parallel data processing, specifically on image processing. Main focus of this thesis is determining time difference in image processing using graphical processing unit and classic approach on processor. Another focus is accessing webcam and processing of captured frames. | en |
dc.format | text | cs |
dc.format.extent | 118-120 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings of the 23st Conference STUDENT EEICT 2017. s. 118-120. ISBN 978-80-214-5496-5 | cs |
dc.identifier.isbn | 978-80-214-5496-5 | |
dc.identifier.uri | http://hdl.handle.net/11012/187055 | |
dc.language.iso | cs | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings of the 23st Conference STUDENT EEICT 2017 | en |
dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | image segmentation | en |
dc.subject | parallel processing | en |
dc.subject | GPU | en |
dc.subject | NVIDIA | en |
dc.subject | CUDA | en |
dc.subject | image capture | en |
dc.title | Image Segmentation On CPU/GPU | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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