Real-time per-pixel focusing method for light field rendering
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU138940" target="_blank" >RIV/00216305:26230/21:PU138940 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/article/10.1007/s41095-021-0205-0" target="_blank" >https://link.springer.com/article/10.1007/s41095-021-0205-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s41095-021-0205-0" target="_blank" >10.1007/s41095-021-0205-0</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Real-time per-pixel focusing method for light field rendering
Popis výsledku v původním jazyce
Light field rendering belongs to image-based rendering methods that do not use 3D models but only images of the scene as the input to render new views. Light field approximation, represented as a set of images, suffers from so-called refocusing artifacts due to different depth values of the pixels in the scene. Without the information about the depth in the scene, a proper focusing of the light field scene is limited to a single focusing distance. The correct focusing method is addressed in this work and a real-time solution for focusing of light field scenes, based on statistical analysis of the pixel values contributing to final image, is proposed. Compared to existing techniques, this method does not need a precomputed or acquired depth information. Memory requirements and streaming bandwidth are reduced and real-time rendering is possible even when using a high resolution light field data, yielding visually satisfactory results. Experimental evaluation of the proposed method implemented on GPU is presented in this paper.
Název v anglickém jazyce
Real-time per-pixel focusing method for light field rendering
Popis výsledku anglicky
Light field rendering belongs to image-based rendering methods that do not use 3D models but only images of the scene as the input to render new views. Light field approximation, represented as a set of images, suffers from so-called refocusing artifacts due to different depth values of the pixels in the scene. Without the information about the depth in the scene, a proper focusing of the light field scene is limited to a single focusing distance. The correct focusing method is addressed in this work and a real-time solution for focusing of light field scenes, based on statistical analysis of the pixel values contributing to final image, is proposed. Compared to existing techniques, this method does not need a precomputed or acquired depth information. Memory requirements and streaming bandwidth are reduced and real-time rendering is possible even when using a high resolution light field data, yielding visually satisfactory results. Experimental evaluation of the proposed method implemented on GPU is presented in this paper.
Klasifikace
Druh
J<sub>imp</sub> - 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)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Computational Visual Media
ISSN
2096-0662
e-ISSN
—
Svazek periodika
2021
Číslo periodika v rámci svazku
7
Stát vydavatele periodika
CN - Čínská lidová republika
Počet stran výsledku
15
Strana od-do
319-333
Kód UT WoS článku
000678754100003
EID výsledku v databázi Scopus
2-s2.0-85101752483