prikaz prve stranice dokumenta Deskriptor ključnih točaka inspiriran ljudskim vizualnim sustavom
  Download
PDF 3.33 MB
undergraduate thesis
Deskriptor ključnih točaka inspiriran ljudskim vizualnim sustavom
2018. urn:nbn:hr:200:827012
Strišković, Barbara
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Cite this document

Strišković, B. (2018). Deskriptor ključnih točaka inspiriran ljudskim vizualnim sustavom (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:827012

Strišković, Barbara. "Deskriptor ključnih točaka inspiriran ljudskim vizualnim sustavom." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:827012

Strišković, Barbara. "Deskriptor ključnih točaka inspiriran ljudskim vizualnim sustavom." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:827012

Strišković, B. (2018). 'Deskriptor ključnih točaka inspiriran ljudskim vizualnim sustavom', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 20 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:827012

Strišković B. Deskriptor ključnih točaka inspiriran ljudskim vizualnim sustavom [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2024 November 20] Available at: https://urn.nsk.hr/urn:nbn:hr:200:827012

B. Strišković, "Deskriptor ključnih točaka inspiriran ljudskim vizualnim sustavom", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:200:827012

Please login to the repository to save this object to your list.
Metadata
TitleDeskriptor ključnih točaka inspiriran ljudskim vizualnim sustavom
Title (english)Keypoint descriptor inspired by the human visual system
AuthorBarbara Strišković
MentorIrena Galić (mentor)
MentorHrvoje Leventić (mentor)
Committee memberIrena Galić (predsjednik povjerenstva)
Committee memberZdravko Krpić (član povjerenstva)
Committee memberGoran Martinović (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2018-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Rad se bavi područjem računalnog vida, odnosno algoritmom koji pripada tom području. Navedeno područje istražuje digitalne slike odnosno bavi se razumijevanjem slika u svrhu pronalaska značajki po kojima je moguće prepoznati i povezati dvije slike. Kako bi se pojednostavila analiza slike iz iste se izdvajaju bitne značajke koje će koristiti u daljnjoj obradi. Algoritam FREAK se koristi upravo za to određivanje ključnih točaka te povezivanje istih, inspiriran je ljudskim vizualnim sustavom što pretpostavlja bolje rezultate izvođenja algoritma. Cilj ovog rada je pojasniti FREAK, izložiti prednosti i nedostatke te izvesti eksperiment koji treba potkrijepiti navedeno.
Abstract (english)
The paper deals with the field of computer vision, that is, the algorithm that belongs to this field. This area explores digital images and deals with the understanding of the image in order to discover features that make it possible to recognize and link two images. Understanding the picture can be defined as extracting useful information from the image, needed for further analysis. In order to simplify the image analysis, the essential features that will be used in further processing are extracted. One of the tasks involved in computing is to detect and connect these features. The FREAK algorithm is used to precisely define and correlate key points, inspired by the human visual system, which presupposes better performance of the algorithm. The aim of this paper is to clarify FREAK, expose advantages and disadvantages, and carry out the experiment that needs to be supported.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:827012
Study programmeTitle: Undergraduate University Study Programme
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2018-10-24 07:01:23