0597783 20250210140544.320240830235959.9 10.2312/mam.20241177 4 s. E cav_un_epca*0597782978-3-03868-264-62309-5059GoslarEurographics - The European Association for Computer Graphics2024HardebergJonRushmeierHolly Computer graphics Graphics systems and interfaces - Perception Image manipulation - Texturing cav_un_auth*0101086 Filip Jiří UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0471803 Vítek Martin UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO Ústav teorie informace a automatizace AV ČR, v. v. i. https://library.utia.cas.cz/separaty/2024/RO/filip-0597783.pdf https://diglib.eg.org/server/api/core/bitstreams/fec6d3ea-5d9c-4b93-8cd4-71ae907444f4/content GA22-17529S GA ČR CZ cav_un_auth*0439849 3D printing has been extensively used for over two decades by various practitioners and professionals in the industry. This technique, which involves adding material from melted filament layer by layer based on CAD model geometry, imparts a unique appearance to the printed objects. The layering structure generates specific directional reflectance patterns on printed surfaces, leading to anisotropic highlights. Due to slight inaccuracies in the printing setup, the appearance of individual layers is not seamless and exhibits sparkle-like effects along the highlight. In this paper, we conducted a psychophysical experiment to analyze human perception of the printed objects, focusing on the intensity and width of the anisotropic highlights. We discovered that the contrast near the highlights and the variability of pixel intensities along the highlights are highly correlated with human ratings. Lastly, we present a straightforward method utilizing these computational features to enhance the visualization of 3D printed objects. cav_un_auth*0471804 MAM2024 - Eurographics Workshop on Material Appearance Modeling Joint event with MANER Conference London 2024 - Material Appearance Network for Education and Research 20240702 20240702 London GB BD 20000 20200 20205 2025 2 PR RVO:67985556 https://hdl.handle.net/11104/0356106 1 S 2024 SCOPUS PUBMED WOS PDF 4MB cav_un_epca*0597782 MAM2024 - Eurographics Workshop on Material Appearance Modeling Joint event with MANER Conference London 2024 - Material Appearance Network for Education and Research Eurographics - The European Association for Computer Graphics 2024 Goslar 978-3-03868-264-6 2309-5059 Hardeberg Jon 340 Rushmeier Holly 340