prikaz prve stranice dokumenta Trodimenzionalna rekonstrukcija scene pomoću događajne kamere
No public access
undergraduate thesis
Trodimenzionalna rekonstrukcija scene pomoću događajne kamere
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:533778
Bataljak Savić, Sven
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Bataljak Savić, S. (2023). Trodimenzionalna rekonstrukcija scene pomoću događajne kamere (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:533778

Bataljak Savić, Sven. "Trodimenzionalna rekonstrukcija scene pomoću događajne kamere." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:533778

Bataljak Savić, Sven. "Trodimenzionalna rekonstrukcija scene pomoću događajne kamere." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:533778

Bataljak Savić, S. (2023). 'Trodimenzionalna rekonstrukcija scene pomoću događajne kamere', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 12 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:533778

Bataljak Savić S. Trodimenzionalna rekonstrukcija scene pomoću događajne kamere [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 July 12] Available at: https://urn.nsk.hr/urn:nbn:hr:168:533778

S. Bataljak Savić, "Trodimenzionalna rekonstrukcija scene pomoću događajne kamere", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:533778

Metadata
TitleTrodimenzionalna rekonstrukcija scene pomoću događajne kamere
Title (english)Three-dimensional reconstruction of the scene with an event camera
AuthorSven Bataljak Savić
MentorIvan Marković (mentor)
Committee memberIvan Marković (član povjerenstva)
Committee memberLuka Petrović (član povjerenstva)
Committee memberKarlo Koledić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-08-31, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Događajne kamere su specifičan tip senzora koji ne snimaju kontinuirane slike, već bilježe promjene u svjetlini na pojedinačnim pikselima(događaje). Ove kamere su karakterizirane visokom vremenskom rezolucijom, niskom potrošnjom energije, malom latencijom i velikim dinamičkim rasponom svjetlosti, što ih čini korisnima u robotici. OptiTrack sustav je niz infracrvenih kamera koje prate markere u prostoru i koriste se za praćenje položaja objekta. Implementirali smo algoritam Event-based Multi-View Stereo (EMVS) za dobivanje 3D strukture objekta snimajući događaje iz različitih pozicija. Algoritam zahtijeva pokret kako bi se snimio vizualni sadržaj, što je glavna razlika u odnosu na standardni MVS algoritam. Rezultat EMVS-a je polugusta 3D mapa, za razliku od guste 3D mape koja je rezultat MVS algoritma. EMVS koristi metodu skeniranja prostora koja uključuje povratnu projekciju, brojanje zraka i utvrđivanje postojanja strukture scene. Zatim se na rezultate još primjenjuju postuupci za čišćenje rezultata. Zatim smo isprobali EMVS na različitim uvjetima da procjenimo kako će se algoritam, zajedno s događajnim kamerama ponašati u tim uvjetima.
Abstract (english)
Event cameras are a specific type of sensor that does not record continuous images, but instead records changes in light intensity at individual pixels (events). These cameras are characterized by high temporal resolution, low power consumption, small latency, and a large dynamic light range, which makes them useful in robotics. The OptiTrack system is an array of infrared cameras that track markers in space and are used to track the position of an object. We have implemented the Event-based Multi-View Stereo (EMVS) algorithm to obtain a 3D structure of an object by recording events from different positions. The algorithm requires motion to capture visual content, which is the main difference compared to the standard MVS algorithm. The result of EMVS is a semi-dense 3D map, unlike the dense 3D map that is the result of the MVS algorithm. EMVS uses a space scanning method that includes back projection, ray counting, and determining the existence of scene structure. Additional cleaning procedures are then applied to the results. We then tested EMVS under different conditions to evaluate how the algorithm, along with event cameras, will behave under these conditions.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:533778
Study programmeTitle: Computing
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 conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2023-10-11 08:23:29