Towards a Diminished Reality System that Preserves Structures and Works in Real-time

Authors: Hugo Álvarez Ponga Jon Arrieta Etxeberria David Oyarzun

Date: 27.02.2017


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Abstract

This paper presents a Diminished Reality system that is able to propagate textures as well as structures with a low computational cost, almost in real-time. An existing inpainting algorithm is optimized in order to reduce the high computational cost by implementing some Computer Vision techniques. Although some of the optimizations can be applied to a single static image directly, the global system is mainly oriented to video sequences, where temporal coherence ideas can be applied. To the best of our knowledge, the prototype presented in this paper is the only Diminished Reality system focused on structure propagation that works near real-time. Apart from the technical description, this paper presents an extensive experimental study of the system, which evaluates the optimizations in terms of time and quality.

BIB_text

@Article {
title = {Towards a Diminished Reality System that Preserves Structures and Works in Real-time},
pages = {334-343},
volume = {4},
keywds = {

Diminished Reality, Augmented Reality, Real-time


}
abstract = {

This paper presents a Diminished Reality system that is able to propagate textures as well as structures with a low computational cost, almost in real-time. An existing inpainting algorithm is optimized in order to reduce the high computational cost by implementing some Computer Vision techniques. Although some of the optimizations can be applied to a single static image directly, the global system is mainly oriented to video sequences, where temporal coherence ideas can be applied. To the best of our knowledge, the prototype presented in this paper is the only Diminished Reality system focused on structure propagation that works near real-time. Apart from the technical description, this paper presents an extensive experimental study of the system, which evaluates the optimizations in terms of time and quality.


}
isbn = {978-989-758-225-7},
doi = {10.5220/0006097803340343},
date = {2017-02-27},
year = {2017},
}
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