Počet záznamů: 1

Adaptive slices for acquisition of anisotropic BRDF

SYSNO ASEP	0486116
Druh ASEP	J - Článek v odborném periodiku
Zařazení RIV	J - Článek v odborném periodiku
Poddruh J	Článek ve SCOPUS
Název	Adaptive slices for acquisition of anisotropic BRDF
Tvůrce(i)	Vávra, Radomír (UTIA-B)_{RID, ORCID} Filip, Jiří (UTIA-B)_{RID, ORCID}
Celkový počet autorů	2
Zdroj.dok.	Computational Visual Media. - : Springer - ISSN 2096-0433 Roč. 4, č. 1 (2018), s. 55-69
Poč.str.	15 s.
Forma vydání	Online - E
Jazyk dok.	eng - angličtina
Země vyd.	CN - Čína
Klíč. slova	anisotropic BRDF ; slice ; sampling
Vědní obor RIV	BD - Teorie informace
Obor OECD	Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
CEP	GA17-18407S GA ČR - Grantová agentura ČR
Institucionální podpora	UTIA-B - RVO:67985556
EID SCOPUS	85050943059
DOI	10.1007/s41095-017-0099-z
Anotace	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.
Pracoviště	Ústav teorie informace a automatizace
Kontakt	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Rok sběru	2019

Počet záznamů: 1