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On optimal resampling of view and illumination dependent textures
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Applied Perception in Graphics and Visualization archive
Proceedings of the 5th symposium on Applied perception in graphics and visualization table of contents
Los Angeles, California
SESSION: Lighting, shading, and textures table of contents
Pages 131-134  
Year of Publication: 2008
ISBN:978-1-59593-981-4
Authors
Jiří Filip  Heriot-Watt University
Michael J. Chantler  Heriot-Watt University
Michal Haindl  ÚTIA, AS ČR
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

The use of illumination and view dependent textural information is one way to capture the realistic appearance of genuine materials. One example of such data is the bidirectional texture function. The main disadvantage of these data, that makes their further application very difficult, is their massive size. Perceptually-based methods can determine optimal uniform resampling of these data that allows considerable reduction of a number of view and illumination dependent samples. In this paper we propose to achieve this goal by means of a psychophysical study, comparing original data rendering with rendering of their uniformly resampled version over the hemisphere of illumination and view dependent textural measurements. The resampling was done separately for elevation and azimuthal angles as well as in illumination and view space. Our results shown promising consequences for compression and modeling algorithms using this kind of massive data.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Cochran, W. G. 1950. The comparison of percentages in matched samples. Biometrika, 37, 256--266.
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Fleming, R. W., Dror, R. O., and Adelson, E. H. 2003. Real-world illumination and perception of surface reflectance properties. In Journal of Vision, vol. 3, 347--368.
 
5
Havran, V., Smyk, M., Krawczyk, G., Myszkowski, K., and Seidel, H.-P. 2005. Interactive system for dynamic scene lighting using captured video environment maps. In Eurographics Symposium on Rendering, 31--42, 311.
6
 
7
Lawson, R., Bülthoff, H., and Dumbell, S. 2003. Interactions between view changes and shape changes in picture - picture matching. Perception 34, 12, 1465--1498.
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9
 
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Müller, G., Meseth, J., Sattler, M., Sarlette, R., and Klein, R. 2005. Acquisition, synthesis and rendering of bidirectional texture functions. Computer Graphics Forum 24, 1 (March), 83--110.
 
11
Nicodemus, F., J. C., R., Hsia, J., Ginsburg, I., and Limperis, T. 1977. Geometrical considerations and nomenclature for reflectance. NBS Monograph 160, National Bureau of Standards, U.S. Dept. of Commerce, Washington, D. C., 1--52.
12
 
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te Pas, S., and Pont, S. 2005. Estimations of light-source direction depend critically on material BRDFs. Perception, ECVP Abstract Supplement 34, 212.


Collaborative Colleagues:
Jiří Filip: colleagues
Michael J. Chantler: colleagues
Michal Haindl: colleagues