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2004
Haindl, M., J. Filip, and M. Arnold, "BTF image space utmost compression and modelling method", Proceedings of the 17th IAPR International Conference on Pattern Recognition, Los Alamitos, IEEE, pp. 194-197, August, 2004.
Filip, J., and M. Haindl, "Non-linear reflectance model for Bidirectional Texture Function synthesis", Proceedings of the 17th IAPR International Conference on Pattern Recognition, Los Alamitos, IEEE, pp. 80-83, August, 2004.
Haindl, M., and J. Filip, "A fast probabilistic Bidirectional Texture Function model", Image Analysis and Recognition, Heidelberg, Springer, pp. 298-305, September, 2004.
2005
Somol, P., and M. Haindl, "Novel Path Search Algorithm for Image Stitching and Advanced Texture Tiling", The 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, Plzen, University of Western Bohemia, pp. 155-218, February, 2005.
Haindl, M., and M. Hatka, "A Roller - Fast Sampling-Based Texture Synthesis Algorithm", The 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, Plzen, University of Western Bohemia, pp. 80-83, February, 2005.
Haindl, M., and M. Hatka, "BTF Roller", Texture 2005: Proceedings of 4th Internatinal Workshop on Texture Analysis and Synthesis, Edinburgh, Heriot-Watt University, pp. 89-94, October, 2005.
Filip, J., and M. Haindl, "Efficient Image Based Bidirectional Texture Function Model", Texture 2005: Proceedings of 4th Internatinal Workshop on Texture Analysis and Synthesis, Edinburgh, Heriot-Watt University, pp. 7-12, October, 2005.
2006
Filip, J., M. Haindl, and D. Chetverikov, "Fast Synthesis of Dynamic Colour Textures", Pattern Recognition, 2006. ICPR 2006. 18th International Conference on, vol. 4, pp. 25 -28, 0-0, 2006.
2007
Vácha, P., and M. Haindl, "Image retrieval measures based on illumination invariant textural MRF features", CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval, New York, NY, USA, ACM Press, pp. 448–454, 2007.
2008
Mikeš, S., and M. Haindl, The Prague Texture Segmentation Datagenerator and Benchmark, , 2008.
Vácha, P., and M. Haindl, "Illumination invariants based on Markov random fields", Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, pp. 1 -4, dec., 2008.
2009
Grim, J., P. Somol, M. Haindl, and J. Daneš, "Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models", IEEE Transactions on Image Processing, vol. 18, no. 4: IEEE Computer Society, pp. 765 - 773, 2009.
Kolar, R., and P. Vácha, "Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields", World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, vol. 25/11: Springer Berlin Heidelberg, pp. 247-250, 2009.
2010
Vácha, P., and M. Haindl, "Natural Material Recognition with Illumination Invariant Textural Features", Pattern Recognition (ICPR), 2010 20th International Conference on, pp. 858 -861, aug., 2010.
2011
Vácha, P., M. Haindl, and T. Suk, "Colour and rotation invariant textural features based on Markov random fields", Pattern Recognition Letters, vol. 32, no. 6, pp. 771 - 779, 2011.
Havlíček, M., "MSAR BTF Model", Doktorandské dny 2011, 1, vol. 1, issue 1, Praha, České vysoké učení technické v Praze, pp. 47-56, 11/2011.
2012
Havlíček, M., "Bidirectional Texture Function Three Dimensional Pseudo Gaussian Markov Random Field Model", Doktorandské dny 2012, Praha, České vysoké učení technické v Praze, pp. 53-62, 11/2012.
Haindl, M., and M. Havlíček, "Bidirectional Texture Function Simultaneous Autoregressive Model", MUSCLE, (Pisa, IT, 13.12.2011-15.12.2011), vol. 7252, Pisa, Springer Berlin Heidelberg, pp. 149-159, 2012.
2013
Havlíček, M., " Dynamic Textures Modelling with Temporal Mixing Coefficients Approximation", Doktorandské dny 2013, Praha, FJFI ČVUT, pp. 41-48, 2013.
Havlíček, M., and M. Haindl, "A Moving Average Bidirectional Texture Function Model", Computer Analysis of Images and Patterns, Lecture Notes in Computer Science, vol. 8048: Springer Berlin Heidelberg, pp. 338-345, 09/2013.