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Interaktivni stenski plakat
ID BADOVINAC, KIM ANA (Author), ID Čehovin Zajc, Luka (Mentor) More about this mentor... This link opens in a new window

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Abstract
V okviru diplomske naloge je bil zasnovan in prototipno postavljen sistem za obogatitev informacijskih površin (npr. plakatov) z interaktivno vsebino. Sistem je sestavljen iz kamere in projektorja. Kamero uporablja za zaznavanje vnaprej podane predloge v realnem svetu. Sistem določi njeno lego v prostoru, nato pa aplikacija omogoča, da se preko enostavnega interaktivnega upravljanja prožijo določene akcije. V okviru trenutne implementacije smo se osredotočili na predvajanje video vsebin ob zakrivanju določenih delov predloge. V nalogi predstavimo ustrezno metodologijo na področju registracije predloge in zaznavanja sprememb v sliki, opišemo razviti prototip ter ga kvantitativno ovrednotimo. Rezultati naloge so obetavni, predstavljeni prototip pa odpira več možnih smeri za nadaljnji razvoj.

Language:Slovenian
Keywords:računalniški vid, točke, SIFT, RANSAC, homografija
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2021
PID:20.500.12556/RUL-125416 This link opens in a new window
COBISS.SI-ID:55253763 This link opens in a new window
Publication date in RUL:15.03.2021
Views:1901
Downloads:205
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Secondary language

Language:English
Title:Interactive wall poster
Abstract:
As part of the thesis, a system for enriching information surfaces (e.g. posters) with interactive content was designed and prototyped. The system consists of a camera and a projector. It uses a camera to detect pre-set templated in the real world. The system determines its position in space, and then the application allows certain actions to be triggered through simple interactive management. As part of the current implementation, we have focused on playing video content while concealing certain parts of the template. In this paper, we present the relevant methodology in the field of image registration and detection of image changes, describe the developed prototype and quantitatively evaluate it. The results of the task are promising, and the presented prototype opens several possible directions for further development.

Keywords:computer vision, keypoints, SIFT, RANSAC, homography

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