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Obogatena resničnost na spletu
ID Gobec, Aljaž (Author), ID Pogačnik, Matevž (Mentor) More about this mentor... This link opens in a new window

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Abstract
Obogatena resničnost je tehnologija, ki združuje fizični in digitalni svet. V zadnjem desetletju, odkar je mogoče obogateno resničnost izkusiti prek mobilne naprave, je dotična tehnologija pritegnila pozornost akademskega sveta in industrije. Uporabniki mobilnih naprav lahko že danes na različnih področjih uporabljajo številne domorodne aplikacije obogatene resničnosti, ki ponujajo kakovostno uporabniško izkušnjo, a krati od uporabnika zahtevajo prenos s spletne trgovine in namestitev na napravo. Alternativa takšnim aplikacijam so spletne aplikacije, ki naj bi bile za razliko od domorodnih lažje za razvoj, vzdrževanje in distribucijo. V diplomski nalogi so predstavljeni mehanizmi sledenja, ključne spletne tehnologije ter različni pristopi k obogateni resničnosti na spletu. Praktični del vsebuje razvoj dveh spletnih aplikacij. Prva aplikacija z uporabo knjižnice AR.js nad razbrano oznako upodobi 3D objekt. Druga aplikacija, razvita z WebXR API, s pomočjo kompleksnih algoritmov prepozna površino v resničnem okolju, in ob kliku na zaslon upodobi 3D objekt nad zaznano površino. Aplikaciji sta evalvirani na različnih napravah in v različnih brskalnikih. Prav tako je raziskan vpliv ločljivosti modela in ostalih komponent na hitrost delovanja aplikacije. Iz rezultatov je razvidno, da so spletne aplikacije obogatene resničnosti še v začetnih fazah razvoja, saj se spopadajo s številnimi preprekami in izzivi. Kljub temu bodo lahko, zahvaljujoč razvoju novih spletnih tehnologij, kot sta omrežje 5G in večdostopno robno računalništvo, spletne aplikacije obogatene resničnosti v prihodnosti predstavljale dobro alternativno že uveljavljenim domorodnim aplikacijam.

Language:Slovenian
Keywords:Obogatena resničnost na spletu, mehanizmi sledenja, pristopi v obogateni resničnosti na spletu, AR.js, WebXR API
Work type:Undergraduate thesis
Organization:FE - Faculty of Electrical Engineering
Year:2019
PID:20.500.12556/RUL-109944 This link opens in a new window
Publication date in RUL:10.09.2019
Views:1382
Downloads:343
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Secondary language

Language:English
Title:Augmented reality on the Web
Abstract:
Augmented reality is a technology that combines physical and digital world. The said technology is attracting the attention of academia and industry in the last decade, mainly due to the experience of the augmented reality becoming possible via mobile devices. Users of mobile devices can use many native augmented reality applications with a wide variety of applicability, and thus offering satisfactory quality of experience and user experience. However, such native applications require download and installation. As an alternative to such applications are web applications, which are easier to develop, maintain and distribute, unlike the native applications. This dissertation will present tracking mechanisms, key web technologies and various approaches to web augmented reality. The practical element consists of developing two web applications. The first application renders the 3D object over a detected marker by accessing the AR.js library. The second application, developed with the use of WebXR API, scans the physical surface, using complex algorithms, and then renders the 3D object above the detected surface when the screen is tapped. The two applications have been evaluated with running them on different devices and different browsers. In addition, the impact of the resolution of the model and other components on the speed of the application performance has been researched. The results show that the augmented reality web applications are still in their infancy and facing many obstacles and challenges. Nevertheless, the development of new web technologies, such as 5G network and multi-accessible edge computing, may very well represent the future alternative to already established native applications.

Keywords:Augmented reality on the web, tracking mechanisms, web augmented reality implementation approaches, AR.js, WebXR API

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