Access the full text.
Sign up today, get DeepDyve free for 14 days.
W Matusik, H Pfister, M Brand, L McMillan (2003)
A data-driven reflectance modelACM Trans. Graph., 22
G Ramanarayanan, J Ferwerda, B Walter, K Bala (2007)
Visual equivalence: towards a new standard for image fidelityACM Trans. Graph., 26
P Brodatz (1966)
A Photographic Album for Artists and Designers (Brodatz Texture Database)
K Dana, B Ginneken, S Nayar, J Koenderink (1999)
Reflectance and texture of real-world surfacesACM Trans. Graph., 18
A Serrano, D Gutierrez, K Myszkowski, HP Seidel, B Masia (2016)
An intuitive control space for material appearanceACM Trans. Graph., 35
A Mojsilovic, J Kovacevic, D Kall, R Safranek, S Kicha Ganapathy (2000)
The vocabulary and grammar of color patternsIEEE Trans. Image Process., 9
F Nicodemus, J Richmond, J Hsia, I Ginsburg, T Limperis (1977)
Geometrical considerations and nomenclature for reflectanceNBS Monogr., 160
AF Hayes, K Krippendorff (2007)
Answering the call for a standard reliability measure for coding dataCommun. Methods Meas., 1
H Tamura, S Mori, T Yamawaki (1978)
Textural features corresponding to visual perceptionIEEE Trans. Syst. Man Cybern., 8
RW Fleming (2014)
Visual perception of materials and their propertiesVis. Res., 94
V Havran, J Filip, K Myszkowski (2016)
Perceptually motivated BRDF comparison using single imageComput. Graph. Forum
I Motoyoshi, S Nishida, L Sharan, E Adelson (2007)
Image statistics and the perception of surface qualitiesNature, 447
A Ravishankar Rao, G Lohse (1996)
Towards a texture naming system: identifying relevant dimensions of textureVis. Res., 36
P Vangorp, J Laurijssen, P Dutre (2007)
The influence of shape on the perception of material reflectanceACM Trans. Graph., 26
A Jarabo, H Wu, J Dorsey, H Rushmeier, D Gutierrez (2014)
Effects of approximate filtering on the appearance of bidirectional texture functionsIEEE Trans. Vis. Comput. Graph., 20
Many representations and rendering techniques have been proposed for presenting material appearance in computer graphics. One outstanding problem is evaluating their accuracy. In this paper, we propose assessing accuracy by comparing human judgements of material attributes made when viewing a computer graphics rendering to those made when viewing a physical sample of the same material. We demonstrate this approach using 16 diverse physical material samples distributed to researchers at the MAM 2014 workshop. We performed two psychophysical experiments. In the first experiment, we examined how consistently subjects rate a set of twelve visual, tactile and subjective attributes of individual physical material specimens. In the second experiment, we asked subjects to assess the same attributes for identical materials rendered as BTFs under point-light and environment illuminations. By analyzing obtained data, we identified which material attributes and material types are judged consistently and to what extent the computer graphics representation conveyed the experience of viewing physical material appearance.
The Visual Computer – Springer Journals
Published: May 10, 2018
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.