Procjena osvjetljenja u zatvorenim i otvorenim prostorima

undergraduate thesis

• Title (english): Illumination Estimation of Indoor and Outdoor Scenes
• Author: Fabijan Filajdić
• Mentor: Sven Lončarić (mentor)
• Committee member: Sven Lončarić (predsjednik povjerenstva)
• Committee member: Luka Posilović (član povjerenstva)
• Committee member: Donik Vršnak (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-09-13, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Procjena osvjetljenja bitan je faktor u mnogim primjenama računalnog vida. Cilj je pronaći vektor osvjetljenja kako bi se odradila transformacija slike čiji bi rezultat bila slika s najviše čovjeku vidljivih informacija. U ovom radu provjerava se metoda zasnovana na ideji klasifikacije slika ovisno o tipu svjetlosti koji je dominantan u slici, kao koraku koji prethodi samoj procjeni osvjetljenja. Iznesena je teoretska podloga potrebna za izgradnju takvog modela i opisani napravljeni koraci. Konačni rezultat je izlučen korištenjem Cube+ skupa podataka te VGG i EfficientNet arhitektura kao temelja za dobivanje modela sa zadovoljavajućim rezultatima.

Abstract (english)

Color constancy is an important factor in many computer vision applications. Its primary task is to find an illumination vector such that when an image is transformed with it, it appears as tough it was illuminated with a white light source, thus increasing the amount of information the image transfers to humans. This work uses a method based on prior image classification depending on type of scene illumination source, as a step of preprocessing when estimating illumination of images. Theory behind the process of building such a model was explained and steps described. The final result is extracted using Cube+ dataset coupled with VGG and EfficientNet architectures as a basis for reaching a model with satisfying evalutation results.

• Keywords: Duboko učenje; procjena osvjetljenja; vektor osvjetljenja; konvolucija; backpropagation; scena; klasifikacija
• Keywords (english): Deep learning; illumination estimation; illumination vector; convolution; backpropagation; scene; classification
• Language: croatian
• URN:NBN: urn:nbn:hr:168:546717
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-14 20:25:30