Comparison of selected methods for detecting a reference element using key points in static images

• Autorzy: Kulawik J.

Identyfikatory

DOI

10.1515/ipc-2017-0008

• Języki publikacji: EN

Abstrakty

EN

The article presents a possible way to detect key points. The tests were carried out by the case of detection of a reference object in static images. For comparative purposes, Chris Harris & Mike Stephens [12] and Speeded-Up Robust Features (SURF) detectors [2, 3] were used. The descriptors were built based on the Fast Retina Key point (FREAK) [1, 17] and SURF algorithms [2, 3]. Six different configurations of key point detection methods with the above descriptors were implemented. The obtained results have been presented on exemplary images and in the table. They show that this type of detection of an element of interest can be successful and should be developed.

Słowa kluczowe

EN

corner detection; object detection; characteristic key points; descriptors

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2017
• Tom: Vol. 22, no. 2
• Strony: 15--20
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Kulawik J.

• Institute of Computer and Information Science Faculty of Mechanical Engineering and Computer Science Czestochowa University of Technology 73 Da˛browskiego Str., 42-200 Czestochowa, Poland

Bibliografia

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