Low-error Reconstruction of Directional Functions with Spherical Harmonics

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Low-error Reconstruction of Directional Functions with Spherical Harmonics

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Low-error Reconstruction of Directional Functions with Spherical Harmonics

Popis výsledku anglicky

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.

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

<a href="/cs/project/9A24005" target="_blank" >9A24005: Distributed Multi-Sensor Systems for Human Safety and Health</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

IEEE transactions on visualization and computer graphics

ISSN

1077-2626

e-ISSN

1941-0506

Svazek periodika

31

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

8413-8424

Kód UT WoS článku

001567023900002

EID výsledku v databázi Scopus

2-s2.0-105005261110