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Analyzing and Predicting Anisotropic Effects of BRDFs
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SYSNO ASEP 0448393 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Analyzing and Predicting Anisotropic Effects of BRDFs Author(s) Filip, Jiří (UTIA-B) RID, ORCID Number of authors 1 Source Title Proceedings of the ACM SIGGRAPH Symposium on Applied Perception. - New York : ACM, 2016 - ISBN 978-1-4503-3812-7 Pages s. 25-32 Number of pages 8 s. Publication form Online - E Action ACM SIGGRAPH Symposium on Applied Perception Event date 13.09.2015-14.09.2015 VEvent location Tubingen Country DE - Germany Event type WRD Language eng - English Country US - United States Keywords BRDF ; anisotropic ; shape ; illumination ; measure Subject RIV BD - Theory of Information R&D Projects GA14-10911S GA ČR - Czech Science Foundation (CSF) GA14-02652S GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 UT WOS 000390305600004 EID SCOPUS 84955570948 DOI 10.1145/2804408.2804419 Annotation The majority of the materials we encounter in the real-world have variable reflectance when rotated along a surface normal. This view and illumination azimuthally-variable behavior is known as visual anisotropy. Such behavior can be represented by a four-dimensional anisotropic BRDF that characterizes the anisotropic appearance of homogeneous materials. Unfortunately, most past research has been devoted to simplistic three dimensional isotropic BRDFs. In this paper, we analyze and categorize basic types of BRDF anisotropy, use a psychophysical study to assess at which conditions can isotropic appearance be used without loss of details in material appearance. To this end, we tested the human impression of material anisotropy on various shapes and under two illuminations. We conclude that subjects sensitivity to anisotropy declines with increasing complexity of 3D geometry and increasing uniformity of illumination environment. Finally, we derive and perceptually validate a computationally efficient measure of material visual anisotropy. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2016
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