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On optimal resampling of view and illumination dependent textures

Published:09 August 2008Publication History

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

  1. Carr, J., Beatson, R., Cherrie, J., Mitchell, T., Fright, W., McCallum, B., and Evans, T. 2001. Reconstruction and representation of 3D objects with radial basis functions. ACM SIGGRAPH 2001, 67--76. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Cochran, W. G. 1950. The comparison of percentages in matched samples. Biometrika, 37, 256--266.Google ScholarGoogle ScholarCross RefCross Ref
  3. Dana, K., van Ginneken, B., Nayar, S., and Koenderink, J. 1999. Reflectance and texture of real-world surfaces. ACM Transactions on Graphics 18, 1, 1--34. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. 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.Google ScholarGoogle ScholarCross RefCross Ref
  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. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Kautz, J., Boulos, S., and Durand, F. 2007. Interactive editing and modelling of bidirectional texture functions. ACM Trans. Graph. 26, 3, 53. Google ScholarGoogle ScholarDigital LibraryDigital Library
  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.Google ScholarGoogle ScholarCross RefCross Ref
  8. Matusik, W., Pfister, H. P. Brand, M., and McMillan, L. 2003. A data-driven reflectance model. ACM Transaction on Graphics 22, 3, 759--769. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Meseth, J., Müller, G., Klein, R., Röder, F., and Arnold, M. 2006. Verification of rendering quality from measured BTFs. In Third Symposium on Applied Perception in Graphics and Visualization, 127--134. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. 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.Google ScholarGoogle ScholarCross RefCross Ref
  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.Google ScholarGoogle Scholar
  12. Pellacini, F., and Lawrence, J. 2007. Appwand: editing measured materials using appearance-driven optimization. ACM Transactions on Graphics 26, 3, 54:1--54:10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Pellacini, F., Ferwerda, J., and Greenberg, D. 2000. Toward a psychophysically-based light reflection model for image synthesis. In 27th International Conference on computer Graphics and Interactive Techniques, 55--64. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Ramanarayanan, G., Ferwerda, J., Walter, B., and Bala, K. 2007. Visual equivalence: towards a new standard for image fidelity. ACM Transactions on Graphics 26, 3, 76:1--76:10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. te Pas, S., and Pont, S. 2005. A comparison of material and illumination discrimination performance for real rough, real smooth and computer generated smooth spheres. In APGV '05, 57--58. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. te Pas, S., and Pont, S. 2005. Estimations of light-source direction depend critically on material BRDFs. Perception, ECVP Abstract Supplement 34, 212.Google ScholarGoogle Scholar

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            cover image ACM Conferences
            APGV '08: Proceedings of the 5th symposium on Applied perception in graphics and visualization
            August 2008
            209 pages
            ISBN:9781595939814
            DOI:10.1145/1394281

            Copyright © 2008 ACM

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            Publication History

            • Published: 9 August 2008

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