Title: | Color Quality Comparison in Spectrally (Un)Correlated Random Field Models Color Quality Comparison in Spectrally (Un)Correlated Random Field Models |
Authors: | Havlícek, Michal Haindl, Michal |
Citation: | WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 197-206. |
Issue Date: | 2024 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://hdl.handle.net/11025/57392 |
ISSN: | 2464–4625 (online) 2464–4617 (print) |
Keywords: | textová analýza;syntéza textur;porovnání kvality barev textury;modelování textur;BTF |
Keywords in different language: | texture analysis;texture synthesis;Texture Color Quality Comparison;texture modeling;BTF |
Abstract in different language: | 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. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG 2024: Full Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
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C05-2024.pdf | Plný text | 7,53 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/57392
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