Low-error Reconstruction of Directional Functions with Spherical Harmonics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0197875" target="_blank" >RIV/00216305:26230/26:0197875 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/11005717" target="_blank" >https://ieeexplore.ieee.org/document/11005717</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TVCG.2025.3570092" target="_blank" >10.1109/TVCG.2025.3570092</a>
Alternative languages
Result language
angličtina
Original language name
Low-error Reconstruction of Directional Functions with Spherical Harmonics
Original language description
This paper proposes a novel approach for the low-error reconstruction of directional functions with spherical harmonics. We introduce a modified version of Spherical Gaussians with adaptive narrowness and amplitude to represent the input data in an intermediate form. This representation is then projected into spherical harmonics using a closed-form analytical solution. Because of the spectral properties of the proposed representation, the amount of ringing artifacts is reduced, and the overall precision of the reconstructed function is improved. The proposed method is more precise comparing to existing methods. The presented solution can be used in several graphical applications, as discussed in this paper. For example, the method is suitable for sparse models such as indirect illumination or reflectance functions.
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
<a href="/en/project/9A24005" target="_blank" >9A24005: Distributed Multi-Sensor Systems for Human Safety and Health</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE transactions on visualization and computer graphics
ISSN
1077-2626
e-ISSN
1941-0506
Volume of the periodical
31
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
8413-8424
UT code for WoS article
001567023900002
EID of the result in the Scopus database
2-s2.0-105005261110