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Journal Article

Color Quality Comparison in Spectrally (Un)Correlated Random Field Models

Havlíček Michal, Haindl Michal

: Computer Science Research Notes vol.3401, 1 (2024), p. 197-206

: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2024, (Plzen, CZ, 20240515)

: Texture Analysis, Texture Synthesis, Texture Color Quality Comparison, Texture Modeling, BTF

: 10.24132/CSRN.3401.21

: https://library.utia.cas.cz/separaty/2024/RO/haindl-0587782.pdf

(eng): 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.

: BD

: 20205