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undergraduate thesis
Spajanje slika i videa u panoramu
Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2020. urn:nbn:hr:126:334580
Miholek, Branka
Josip Juraj Strossmayer University of Osijek
Department of Mathematics
Chair of Applied Mathematics
Computer Science Research Group

Cite this document

Miholek, B. (2020). Spajanje slika i videa u panoramu (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:334580

Miholek, Branka. "Spajanje slika i videa u panoramu." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2020. https://urn.nsk.hr/urn:nbn:hr:126:334580

Miholek, Branka. "Spajanje slika i videa u panoramu." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2020. https://urn.nsk.hr/urn:nbn:hr:126:334580

Miholek, B. (2020). 'Spajanje slika i videa u panoramu', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 25 March 2023, https://urn.nsk.hr/urn:nbn:hr:126:334580

Miholek B. Spajanje slika i videa u panoramu [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2020 [cited 2023 March 25] Available at: https://urn.nsk.hr/urn:nbn:hr:126:334580

B. Miholek, "Spajanje slika i videa u panoramu", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:126:334580

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Metadata
TitleSpajanje slika i videa u panoramu
Title (english)Image/Video Stitching
AuthorBranka Miholek
MentorDomagoj Matijević (mentor)
GranterJosip Juraj Strossmayer University of Osijek
Department of Mathematics
(Chair of Applied Mathematics)
(Computer Science Research Group)
Osijek
Defense date and country2020-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Applied Mathematics and Mathematical Modeling
Abstract
U ovome radu opisujemo kako se radi spajanje slika, odnosno frameova iz videa. Najprije za svaku ulaznu sliku pronalazimo ključne točke, deskriptore i feature pomoću algoritma KAZE. Zatim pronalazimo matcheve pronađenih ključnih točaka, deskriptora i featurea između slika koristeći Brute-Force matcher ili FLANN matcher. Ako imamo dovoljno matcheva, korištenjem algoritma RANSAC računamo matricu homografije uz pomoć koje transformiramo slike. Na kraju spajamo transformirane slike i dobivamo panoramu.
Abstract (english)
In this paper we describe how image and video stitching is done. Firstly, we use KAZE algorithm to find keypoints, descriptors and features of every input image. Next, we find matching keypoints, descriptors and features between images using Brute-Force matcher or FLANN matcher. If we have enough matches, we use RANSAC algorithm to compute homography matrix which helps us to warp images. In the end, we connect the warped images and get the output panorama.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:334580
Study programmeTitle: University undergraduate study programme in mathematics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
RepositoryRepository of Department of Mathematics Osijek
Created on2020-11-02 08:41:11