Number of the records: 1  

Perceptual Attributes Analysis of Real-World Materials

  1. 1.
    SYSNO ASEP0501036
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitlePerceptual Attributes Analysis of Real-World Materials
    Author(s) Filip, Jiří (UTIA-B) RID, ORCID
    Kolafová, Martina (UTIA-B)
    Number of authors2
    Article number1
    Source TitleACM Transactions on Applied Perception. - : Association for Computing Machinery - ISSN 1544-3558
    Roč. 16, č. 1 (2019)
    Number of pages19 s.
    Publication formPrint - P
    Languageeng - English
    CountryUS - United States
    KeywordsBRDF ; attributes ; perception ; visual ; tactile ; user study
    Subject RIVBD - Theory of Information
    OECD categoryAutomation and control systems
    R&D ProjectsGA17-18407S GA ČR - Czech Science Foundation (CSF)
    Method of publishingLimited access
    Institutional supportUTIA-B - RVO:67985556
    UT WOS000460393600001
    EID SCOPUS85061215223
    DOI10.1145/3301412
    AnnotationMaterial 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.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2020
    Electronic addresshttps://dl.acm.org/doi/10.1145/3301412
Number of the records: 1  

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