Název:	Color Quality Comparison in Spectrally (Un)Correlated Random Field Models Color Quality Comparison in Spectrally (Un)Correlated Random Field Models
Autoři:	Havlícek, Michal Haindl, Michal
Citace zdrojového dokumentu:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 197-206.
Datum vydání:	2024
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57392
ISSN:	2464–4625 (online) 2464–4617 (print)
Klíčová slova:	textová analýza;syntéza textur;porovnání kvality barev textury;modelování textur;BTF
Klíčová slova v dalším jazyce:	texture analysis;texture synthesis;Texture Color Quality Comparison;texture modeling;BTF
Abstrakt v dalším jazyce:	We inspect the ability to reproduce spectral (color) composition in random field-based texture models, test when it can neglect spectral correlation, and simplify these random models without visibly depreciating their visual quality. These probabilistic models present essential two or three-dimensional factors for modeling seven-dimensional Bidirectional Texture Function (BTF) - the most advanced representation currently used in real-world material visual properties modeling. They can seamlessly approximate original measured massive data and extend them to an arbitrary size or simulate unmeasured ones. Using extensive test data sets and a small set of setup control parameters, these models reach a vast compression ratio while maintaining the visual quality of measurements, and thus, they are the only viable alternative for BTF practical usage.
Práva:	© Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	WSCG 2024: Full Papers Proceedings

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.