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Adaptive slices for acquisition of anisotropic BRDF

SYSNO ASEP	0486116
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve SCOPUS
Title	Adaptive slices for acquisition of anisotropic BRDF
Author(s)	Vávra, Radomír (UTIA-B)_{RID, ORCID} Filip, Jiří (UTIA-B)_{RID, ORCID}
Number of authors	2
Source Title	Computational Visual Media. - : Springer - ISSN 2096-0433 Roč. 4, č. 1 (2018), s. 55-69
Number of pages	15 s.
Publication form	Online - E
Language	eng - English
Country	CN - China
Keywords	anisotropic BRDF ; slice ; sampling
Subject RIV	BD - Theory of Information
OECD category	Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
R&D Projects	GA17-18407S GA ČR - Czech Science Foundation (CSF)
Institutional support	UTIA-B - RVO:67985556
EID SCOPUS	85050943059
DOI	10.1007/s41095-017-0099-z
Annotation	BRDF continues to be used as a fundamental tool for representing material appearance in computer graphics. In this paper we present a practical adaptive method for acquisition of the anisotropic BRDF. It is based on a sparse adaptive measurement of the complete four-dimensional BRDF space by means of one-dimensional slices which form a sparse four-dimensional structure in the BRDF space and which can be measured by continuous movements of a light source and a sensor. Such a sampling approach is advantageous especially for gonioreflectometer-based measurement devices where the mechanical travel of a light source and a sensor creates a significant time constraint. In order to evaluate our method, we perform adaptive measurements of three materials and we simulate adaptive measurements of thirteen others. We achieve a four-times lower reconstruction error in comparison with the regular non-adaptive BRDF measurements given the same count of measured samples. Our method is almost twice better than a previous adaptive method, and it requires from two- to five-times less samples to achieve the same results as alternative approaches.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2019

Number of the records: 1