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The Effect of Illuminant Rotation on Texture Filters: Lissajous’s Ellipses

  • M. Chantler
  • M. Schmidt
  • M. Petrou
  • G. McGunnigle
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2352)

Abstract

Changes in the angle of illumination incident upon a 3D surface texture can significantly change its appearance. These changes can affect the output of texture features to such an extent that they cause complete misclassification. We present new theory and experimental results that show that changes in illumination tilt angle cause texture clusters to describe Lissajous’s ellipses in feature space. We focus on texture features that may be modelled as a linear filter followed by an energy estimation process e.g. Laws filters, Gabor filters, ring and wedge filters. This general texture filter model is combined with a linear approximation of Lambert’s cosine law to predict that the outputs of these filters are sinusoidal functions of illuminant tilt. Experimentation with 30 real textures verifies this proposal. Furthermore we use these results to show that the clusters of distinct textures describe different elliptical paths in feature space as illuminant tilt varies. These results have significant implications for illuminant tilt invariant texture classification.

Keywords

Texture illumination texture features 

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References

  1. 1.
    M.J. Chantler. Why Illuminant Direction is Fundamental to Texture Analysis, IEE Proceedings on Vision, Image and Signal Processing, Vol. 142”, No. 4, August, 1995 pages 199–206CrossRefGoogle Scholar
  2. 2.
    P. Brodatz. Textures: a photographic album for artists and designers. Dover, New York, 1966.Google Scholar
  3. 3.
    P.R. Kube and A.P. Pentland. On the imaging of fractal surfaces. IEEE Trans. on Pattern Analysis and Machine Intelligence, 10(5):704–707, September 1988.Google Scholar
  4. 4.
    T. Randen and J.H. Husoy. Filtering for texture classification: A comparative study. IEEE Trans. on Pattern Analysis and Machine Intelligence, 21(4):291–310, April 1999.Google Scholar
  5. 5.
    M.J. Chantler and G. McGunnigle. The Response of Texture Features to Illuminant Rotation Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Vol III: pages 955–958, 2000.Google Scholar
  6. 6.
    K.J. Dana, S.K. Nayar, B. van Ginneken, and J.J. Koenderink. Reflectance and texture of real-world surfaces. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pages 151–157, 1997.Google Scholar
  7. 7.
    K.J. Dana and S.K. Nayar. Histogram model for 3d textures. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pages 618–624, 1998.Google Scholar
  8. 8.
    B. van Ginneken, J.J. Koenderink, and K.J. Dana. Texture histograms as a function of irradiation and viewing direction. International Journal of Computer Vision, 31(2/3):169–184, April 1999.Google Scholar
  9. 9.
    K.J. Dana and S.K. Nayar. Correlation model for 3d texture. In Proceedings of ICCV99: IEEE International Conference on Computer Vision, pages 1061–1067, 1999.Google Scholar
  10. 10.
    T. Leung and J. Malik. Recognizing surfaces using three-dimensional textons. In Proceedings of ICCV99: IEEE International Conference on Computer Vision, pages 1010–1017, 1999.Google Scholar
  11. 11.
    T. Leung and J. Malik. Representing and recognizing the visual appearance of materials using three-dimensional textons. International Journal of Computer Vision, 43(1):29–44, June 2001.Google Scholar
  12. 12.
    A.K. Jain and F. Farrokhnia. Unsupervised texture segmentation using gabor filters. Pattern Recognition, 24(12):1167–1186, December 1991.Google Scholar
  13. 13.
    K.I. Laws. Textured Image Segmentation. PhD thesis, Electrical Engineering, University of Southern California, 1980.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • M. Chantler
    • 1
  • M. Schmidt
    • 2
  • M. Petrou
    • 3
  • G. McGunnigle
    • 1
  1. 1.Texture Lab.Heriot-Watt UniversityEdinburghScotland
  2. 2.Darmstadt University of TechnologyGermany
  3. 3.Department of Electronic and Electrical EngineeringUniversity of SurreyGuildfordUK

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