Out-of-Focus Artifacts Mitigation and Autofocus Methods for 3D Displays

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F24%3APU154974" target="_blank" >RIV/00216305:26230/24:PU154974 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2468502X2400069X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2468502X2400069X</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.visinf.2024.12.001" target="_blank" >10.1016/j.visinf.2024.12.001</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Out-of-Focus Artifacts Mitigation and Autofocus Methods for 3D Displays

Popis výsledku v původním jazyce

This paper proposes a novel content-aware method for automatic focusing of the scene on a 3D display. The method addresses a common problem that visualized content is often out of focus, which adversely affects perceived 3D content. The method outperforms existing focusing method, having the error lower by almost 30%. The existing and novel focusing is extended with depth-of-field enhancement of the scene to mitigate out-of-focus artifacts. The relation between the total depth range of the scene and the visual quality of the result is discussed and evaluated according to human perception experiments. A space warping method for synthetic scenes is proposed to reduce out-of-focus artifacts while maintaining the scene appearance. An user study was conducted to evaluate the proposed methods and identify the crucial parameters in the scene-focusing process on the 3D stereoscopic display by Looking Glass Factory. The study confirmed the efficiency of the proposals and discovered that the depth-of-field artifact mitigation might not be suitable for all scenes despite theoretical hypotheses. The overall proposal of this paper is a set of methods that can be used to produce the best user experience with arbitrary scene displayed on a 3D display.

Název v anglickém jazyce

Out-of-Focus Artifacts Mitigation and Autofocus Methods for 3D Displays

Popis výsledku anglicky

This paper proposes a novel content-aware method for automatic focusing of the scene on a 3D display. The method addresses a common problem that visualized content is often out of focus, which adversely affects perceived 3D content. The method outperforms existing focusing method, having the error lower by almost 30%. The existing and novel focusing is extended with depth-of-field enhancement of the scene to mitigate out-of-focus artifacts. The relation between the total depth range of the scene and the visual quality of the result is discussed and evaluated according to human perception experiments. A space warping method for synthetic scenes is proposed to reduce out-of-focus artifacts while maintaining the scene appearance. An user study was conducted to evaluate the proposed methods and identify the crucial parameters in the scene-focusing process on the 3D stereoscopic display by Looking Glass Factory. The study confirmed the efficiency of the proposals and discovered that the depth-of-field artifact mitigation might not be suitable for all scenes despite theoretical hypotheses. The overall proposal of this paper is a set of methods that can be used to produce the best user experience with arbitrary scene displayed on a 3D display.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Visual Informatics

ISSN

2468-502X

e-ISSN

—

Svazek periodika

9

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CN - Čínská lidová republika

Počet stran výsledku

11

Strana od-do

31-42

Kód UT WoS článku

001429975500001

EID výsledku v databázi Scopus

2-s2.0-85217963487