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undergraduate thesis
Klasifikacija objekata na RGB-D slikama primjenom metode skupa funkcija oblika
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. urn:nbn:hr:200:178140
Varga, Hrvoje
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Automation and Robotics

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Varga, H. (2018). Klasifikacija objekata na RGB-D slikama primjenom metode skupa funkcija oblika (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:200:178140

Varga, Hrvoje. "Klasifikacija objekata na RGB-D slikama primjenom metode skupa funkcija oblika." 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:200:178140

Varga, Hrvoje. "Klasifikacija objekata na RGB-D slikama primjenom metode skupa funkcija oblika." 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:200:178140

Varga, H. (2018). 'Klasifikacija objekata na RGB-D slikama primjenom metode skupa funkcija oblika', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:178140

Varga H. Klasifikacija objekata na RGB-D slikama primjenom metode skupa funkcija oblika [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:200:178140

H. Varga, "Klasifikacija objekata na RGB-D slikama primjenom metode skupa funkcija oblika", 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:200:178140

Metadata
TitleKlasifikacija objekata na RGB-D slikama primjenom metode skupa funkcija oblika
Title (english)Object classification in RGB-D images using Ensamble of Shape Functions mehtod
AuthorHrvoje Varga
MentorRobert Cupec (mentor)
MentorPetra Đurović (mentor)
Committee memberRobert Cupec (predsjednik povjerenstva)
Committee memberZdravko Krpić (član povjerenstva)
Committee memberIvica Lukić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Automation and Robotics)
Osijek
Defense date and country2018-09-21, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
Klasifikacija objekata prikazanim na 2D ili 3D slikama postaje sve više i više popularna i tehnilogije koje se razvijaju su efikasnije i jednostavnije, dok kvaliteta i točnost ostaju visoki. Metoda korištena u ovom radu je ESF(Ensemble of shape functions). Ona je jedna od metoda uključena u PCL biblioteku. ESF je funkcija oblika koja je jednostavna, a omogućuje puno načina za korištenje. Jedan od najčešćih načina korištenja je klasificiranje objekata, ali ima i ostalih kao što su primjećivanje, računanje raznoraznih udaljenosti, normala u geometrijskoj okolini. U radu je također opisan program za klasifikaciju objekata na RGB-D slikama primjenom ESF metode, te ispitan na ispitnom podatkovnom skupu 3DNet.
Abstract (english)
Object recognition for 2D or 3D images becomes more and more popular and technologies that are being developed are more efficiend and simpler, while quality and precision remain high. The method used in this project is ESF(Ensemble of shape functions). It is one of many methodes included in the PCL library. ESF is shape function that is simple and has various applications. This method is primarily designed for object recognition, but there are other applications like registration, calculating distances or calculating normals in geometric environment. In this project, a program for object classification using ESF method is described and it is tested on the 3DNet data set.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:178140
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2018-10-22 07:45:57