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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/42035
Title: Surf features extraction in a computer vision system
Authors: Puyda, Volodymyr
Affiliation: Lviv Polytechnic National University
Bibliographic description (Ukraine): Puyda 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.
Bibliographic description (International): Puyda 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.
Is part of: Advances in Cyber-Physical Systems, 1 (2), 2017
Issue: 1
Volume: 2
Issue Date: 1-Feb-2017
Publisher: Lviv Politechnic Publishing House
Place of the edition/event: Lviv
Keywords: computer vision
video stream
SURF features
image identification
Number of pages: 3
Page range: 29-31
Start page: 29
End page: 31
Abstract: We 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.
URI: https://ena.lpnu.ua/handle/ntb/42035
ISSN: 2524-0382
Copyright owner: © Національний університет „Львівська політехніка“, 2017
© Puyda V., 2017
References (Ukraine): [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.
[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.
[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.
[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
References (International): [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.
[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.
[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.
[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
Content type: Article
Appears in Collections:Advances In Cyber-Physical Systems. – 2017. – Vol. 2, No. 1

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