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 |
File | Description | Size | Format | |
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2017v2n1_Puyda_V-Surf_features_extraction_in_29-31.pdf | 1.86 MB | Adobe PDF | View/Open | |
2017v2n1_Puyda_V-Surf_features_extraction_in_29-31__COVER.png | 1.1 MB | image/png | View/Open |
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