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Detail práce
   Přihlásit přes CAS
Advances in spectral uplifting and reconstruction
Název práce v češtině: Pokroky ve spektrálním upliftingu a rekonstrukci
Název v anglickém jazyce: Advances in spectral uplifting and reconstruction
Klíčová slova: spektrálny uplifting|spektrální rendering
Klíčová slova anglicky: spectral rendering|spectral uplifting|color science|image-based lighting
Akademický rok vypsání: 2020/2021
Typ práce: disertační práce
Jazyk práce: angličtina
Ústav: Katedra softwaru a výuky informatiky (32-KSVI)
Vedoucí / školitel: prof. Dr. techn. Alexander Wilkie
Řešitel: skrytý - zadáno a potvrzeno stud. odd.
Datum přihlášení: 01.09.2021
Datum zadání: 01.09.2021
Datum potvrzení stud. oddělením: 25.11.2021
Datum a čas obhajoby: 05.09.2025 14:00
Datum odevzdání elektronické podoby:22.06.2025
Datum odevzdání tištěné podoby:23.06.2025
Datum proběhlé obhajoby: 05.09.2025
Oponenti: Johannes Schudeiske
  Laurent Belcour, Ph.D.
 
 
Zásady pro vypracování
For the purposes of utilizing RGB-based assets in a spectral renderer, accurate conversion of RGB values to their spectral variants is a desired feature. This process is called spectral uplifting (or spectral upsampling) and although multiple methods capable of it have already been proposed, it is still not possible to synthesize spectra by example — that is, to uplift RGB values to spectra that match measurements from real surfaces. Such a process would allow artists to perform asset modeling in color space, while yielding consistent and physically plausible spectra for the input RGB values.
As a followup to this algorithm, another goal of this dissertation is to develop a framework suitable for an artist without prior knowledge about spectral information to craft reflectance and transmission spectra. This framework would give the artist a closer control of the spectral domain, which would allow a finer control of the scene appearance, including the utilization of spectral textures, under specific lighting conditions. This would also allow creation of metamers for specific illuminants. Due to its possibility to synthesize spectra by example, the framework would additionally offer the option of working with specific material classes – for example, if the artist were to paint a metal texture, suitable spectra of real metal surfaces would be selected for the uplifting process.
Seznam odborné literatury
Wenzel Jakob and Johannes Hanika
A Low-Dimensional Function Space for Efficient Spectral Upsampling
Comput. Graph. Forum, 38(2), pp. 147-155, 2019.

Alisa Jung and Alexander Wilkie and Johannes Hanika and Wenzel Jakob and Carsten Dachsbacher
Wide Gamut Spectral Upsampling with Fluorescence
Comput. Graph. Forum, 38(4), pp. 87-96, 2019.
 
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