Abstract
The Bidirectional Texture Function (BTF) is the recent most advanced representation of visual properties of surface materials. It specifies their appearance due to varying spatial, illumination, and viewing conditions. Corresponding enormous BTF measurements require a mathematical representation allowing extreme compression but simultaneously preserving its high visual fidelity. We present a novel BTF model based on a set of underlying mono-spectral two-dimensional (2D) moving average factors. A mono-spectral moving average model assumes that a stochastic mono-spectral texture is produced by convolving an uncorrelated 2D random field with a 2D filter which completely characterizes the texture. The BTF model combines several multi-spectral band limited spatial factors, subsequently factorized into a set of mono-spectral moving average representations, and range map to produce the required BTF texture space. This enables very high BTF space compression ratio, unlimited texture enlargement, and reconstruction of missing unmeasured parts of the BTF space.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Dana, K.J., Nayar, S.K., van Ginneken, B., Koenderink, J.J.: Reflectance and texture of real-world surfaces. In: CVPR, pp. 151–157. IEEE Computer Society (1997)
Haindl, M., Filip, J.: Visual Texture. Advances in Computer Vision and Pattern Recognition. Springer, London (January 2013)
Müller, G., Meseth, J., Sattler, M., Sarlette, R., Klein, R.: Acquisition, synthesis and rendering of bidirectional texture functions. In: Eurographics 2004, STAR - State of The Art Report, Eurographics Association, Eurographics Association, pp. 69–94 (2004)
Kawasaki, H., Seo, K.D., Ohsawa, Y., Furukawa, R.: Patch-based btf synthesis for real-time rendering. In: IEEE International Conference on Image Processing, ICIP, September 11-14, vol. 1, pp. 393–396. IEEE (2005)
Lefebvre, S., Hoppe, H.: Appearance-space texture synthesis. ACM Trans. Graph 25(3), 541–548 (2006); BTF sampling
Leung, C.S., Pang, W.M., Fu, C.W., Wong, T.T., Heng, P.A.: Tileable btf. IEEE Transactions on Visualization and Computer Graphics 13(5), 953–965 (2007)
Haindl, M., Hatka, M.: BTF Roller. In: Chantler, M., Drbohlav, O. (eds.) Proceedings of the 4th International Workshop on Texture Analysis, Texture 2005, pp. 89–94. IEEE, Los Alamitos (2005)
Blinn, J.: Simulation of wrinkled surfaces. SIGGRAPH 1978 12(3), 286–292 (1978)
Wang, L., Wang, X., Tong, X., Lin, S., Hu, S., Guo, B., Shum, H.: View-dependent displacement mapping. ACM Transactions on Graphics 22(3), 334–339 (2003)
Haindl, M., Filip, J.: Extreme compression and modeling of bidirectional texture function. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(10), 1859–1865 (2007)
Frankot, R.T., Chellappa, R.: A method for enforcing integrability in shape from shading algorithms. IEEE Trans. on Pattern Analysis and Machine Intelligence 10(7), 439–451 (1988)
Favaro, P., Soatto, S.: 3-D shape estimation and image restoration: exploiting defocus and motion blur. Springer-Verlag New York Inc. (2007)
Woodham, R.: Photometric method for determining surface orientation from multiple images. Optical Engineering 19(1), 139–144 (1980)
Li, X., Cadzow, J., Wilkes, D., Peters, R., Bodruzzaman II, M.: An efficient two dimensional moving average model for texture analysis and synthesis. In: Proceedings IEEE Southeastcon 1992, vol. 1, pp. 392–395. IEEE (1992)
Cole Jr., H.A.: On-line failure detection and damping measurement of aerospace structures by random decrement signatures. Technical Report TMX-62.041, NASA (May 1973)
Li, X.: An efficient two-dimensional FIR model for texture synthesis. PhD thesis, Vanderbilt University (1990)
Haindl, M., Filip, J.: A fast probabilistic bidirectional texture function model. In: Campilho, A.C., Kamel, M.S. (eds.) ICIAR 2004. LNCS, vol. 3212, pp. 298–305. Springer, Heidelberg (2004)
Haindl, M., Filip, J.: Fast BTF texture modelling. In: Chantler, M. (ed.) Texture 2003. Proceedings, pp. 47–52. IEEE Press, Edinburgh (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Havlíček, M., Haindl, M. (2013). A Moving Average Bidirectional Texture Function Model. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40246-3_42
Download citation
DOI: https://doi.org/10.1007/978-3-642-40246-3_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40245-6
Online ISBN: 978-3-642-40246-3
eBook Packages: Computer ScienceComputer Science (R0)