Real-Time Light Field Video Focusing and GPU Accelerated Streaming

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F23%3APU149403" target="_blank" >RIV/00216305:26230/23:PU149403 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/article/10.1007/s11265-023-01874-8" target="_blank" >https://link.springer.com/article/10.1007/s11265-023-01874-8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11265-023-01874-8" target="_blank" >10.1007/s11265-023-01874-8</a>

Result language

angličtina

Original language name

Real-Time Light Field Video Focusing and GPU Accelerated Streaming

Original language description

This paper proposes a novel solution of real-time depth range and correct focusing estimation in light field videos represented by arrays of video sequences. This solution, compared to previous approaches, offers a novel way to render high-quality synthetic views from light field videos on contemporary hardware in real-time. Only the video frames containing color information with no other attributes, such as captured depth, are needed. The drawbacks of the previous proposals such as block artifacts in the defocused parts of the scene or manual setting of the depth range are also solved in this paper. This paper describes a complete solution that solves the main memory and performance issues of light field rendering on contemporary personal computers. The whole integration of high-quality light field videos supersedes the approaches in previous works and the paper also provides measurements and experimental results. While reaching the same quality as slower state-of-the-art approaches, this method can still be used in real-time which makes it suitable for industry and real-life scenarios as an alternative to standard 3D rendering approaches.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

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

Project

<a href="/en/project/8A21015" target="_blank" >8A21015: AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

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

Name of the periodical

Journal of Signal Processing Systems for Signal Image and Video Technology

ISSN

1939-8018

e-ISSN

1939-8115

Volume of the periodical

95

Issue of the periodical within the volume

6

Country of publishing house

US - UNITED STATES

Number of pages

17

Pages from-to

703-719

UT code for WoS article

000991328300001

EID of the result in the Scopus database

2-s2.0-85160112835