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  3. Volume 2, Number 1, 2017
  4. Surf Features Extraction in a Computer Vision System

Surf Features Extraction in a Computer Vision System

ACPS.
2017;
Volume 2, Number 1
: pp. 29 - 31
https://doi.org/10.23939/acps2017.01.029
Authors:
  1. Volodymyr Puida
1
Lviv Polytechnic National University, Computer Engineering Department

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.

computer vision
video stream
SURF features
image identification

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https://doi.org/10.1016/j.cviu.2007.09.014

[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