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Perceptual Attributes Analysis of Real-World Materials
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SYSNO ASEP 0501036 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Perceptual Attributes Analysis of Real-World Materials Author(s) Filip, Jiří (UTIA-B) RID, ORCID
Kolafová, Martina (UTIA-B)Number of authors 2 Article number 1 Source Title ACM Transactions on Applied Perception. - : Association for Computing Machinery - ISSN 1544-3558
Roč. 16, č. 1 (2019)Number of pages 19 s. Publication form Print - P Language eng - English Country US - United States Keywords BRDF ; attributes ; perception ; visual ; tactile ; user study Subject RIV BD - Theory of Information OECD category Automation and control systems R&D Projects GA17-18407S GA ČR - Czech Science Foundation (CSF) Method of publishing Limited access Institutional support UTIA-B - RVO:67985556 UT WOS 000460393600001 EID SCOPUS 85061215223 DOI 10.1145/3301412 Annotation Material appearance is often represented by a bidirectional reflectance distribution function (BRDF). Although the concept of the BRDF is widely used in computer graphics and related applications, the number of actual captured BRDFs is limited due to a time and resources demanding measurement process. Several BRDF databases have already been provided publicly, yet subjective properties of underlying captured material samples, apart from single photographs, remain unavailable for users. In this paper we analyzed material samples, used in the creation of the UTIA BRDF database, in a psychophysical study with nine subjects and assessed its twelve visual, tactile, and subjective attributes. Further, we evaluated the relationship between the attributes and six material categories. We consider the presented perceptual analysis as valuable and complementary information to the database, that could aid users to select appropriate materials for their applications. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2020 Electronic address https://dl.acm.org/doi/10.1145/3301412
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