Real-time per-pixel focusing method for light field rendering
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Real-time per-pixel focusing method for light field rendering
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computational Visual Media
ISSN
2096-0662
e-ISSN
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Volume of the periodical
2021
Issue of the periodical within the volume
7
Country of publishing house
CN - CHINA
Number of pages
15
Pages from-to
319-333
UT code for WoS article
000678754100003
EID of the result in the Scopus database
2-s2.0-85101752483