Surf features extraction in a computer vision system

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dc.citation.epage31
dc.citation.issue1
dc.citation.spage29
dc.citation.volume2
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorPuyda, Volodymyr
dc.coverage.placenameLviv
dc.date.accessioned2018-06-18T14:00:28Z
dc.date.available2018-06-18T14:00:28Z
dc.date.created2017-02-01
dc.date.issued2017-02-01
dc.description.abstractWe consider a microcontroller implementation of an algorithm for extracting SURF features of an object in a video stream to be used in a specialized computer vision system.
dc.format.extent29-31
dc.format.pages3
dc.identifier.citationPuyda V. Surf features extraction in a computer vision system / Volodymyr Puyda // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2017. — Vol 2. — No 1. — P. 29–31.
dc.identifier.citationenPuyda V. Surf features extraction in a computer vision system / Volodymyr Puyda // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2017. — Vol 2. — No 1. — P. 29–31.
dc.identifier.issn2524-0382
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/42035
dc.language.isoen
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofAdvances in Cyber-Physical Systems, 1 (2), 2017
dc.relation.references[1] H. Baya, A. Essa, T. Tuytelaarsb, L. Van Goola, Speeded-Up Robust Features (SURF), Computer Vision and Image Understanding 110 (2008), no. 3, 346–359.
dc.relation.references[2] V. Puyda. Implementation of the algorithm for finding object coordinates in a grayscale video stream. Visnyk of Lviv Polytechnic National University “Computer Systems and Networks”, 2015, No. 830, 136-140.
dc.relation.references[3] Pat. 52535 U Ukraine, G 06 K 9/00. A method for automatic identification of objects by their contours / V. Puyda and M. Oleksiv; patent applicant and patent owner "Lviv Polytechnic National University". – №u201003306, 25.08.2010, Bul. №16.
dc.relation.references[4] M. Oleksiv and V. Puyda A computer vision system for plane identification based on neural networks. Visnyk of Lviv Polytechnic National University “Computer Systems and Networks”, 2009, No. 638, 61-64
dc.relation.referencesen[1] H. Baya, A. Essa, T. Tuytelaarsb, L. Van Goola, Speeded-Up Robust Features (SURF), Computer Vision and Image Understanding 110 (2008), no. 3, 346–359.
dc.relation.referencesen[2] V. Puyda. Implementation of the algorithm for finding object coordinates in a grayscale video stream. Visnyk of Lviv Polytechnic National University "Computer Systems and Networks", 2015, No. 830, 136-140.
dc.relation.referencesen[3] Pat. 52535 U Ukraine, G 06 K 9/00. A method for automatic identification of objects by their contours, V. Puyda and M. Oleksiv; patent applicant and patent owner "Lviv Polytechnic National University", №u201003306, 25.08.2010, Bul. No 16.
dc.relation.referencesen[4] M. Oleksiv and V. Puyda A computer vision system for plane identification based on neural networks. Visnyk of Lviv Polytechnic National University "Computer Systems and Networks", 2009, No. 638, 61-64
dc.rights.holder© Національний університет „Львівська політехніка“, 2017
dc.rights.holder© Puyda V., 2017
dc.subjectcomputer vision
dc.subjectvideo stream
dc.subjectSURF features
dc.subjectimage identification
dc.titleSurf features extraction in a computer vision system
dc.typeArticle

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Advances In Cyber-Physical Systems. – 2017. – Vol. 2, No. 1