Ing. Michal Havlíček, Ph.D.

postdoc

Michal Havlíček
havlimi2@utia.cas.cz 266052845
Department: Pattern Recognition Department
Research interests: color quality assessment, spectral criteria for textures, bidirectional texture models based on moving average and Markovian approaches

Biography

Publication list

Michal Havlíček earned his master's degree in 2010 from the Faculty of Nuclear Sciences and Physical Engineering at the Czech Technical University in Prague. In 2018, he was awarded the academic title of Ph.D. by the same faculty, in collaboration with the Institute of Information Theory and Automation of the Academy of Sciences of the Czech Republic.

His research focuses on color quality assessment, spectral criteria for textures, and bidirectional texture models based on moving average and Markovian approaches. He has published several articles in these areas and has been involved in multiple Czech research projects.

Journal articles

  1. Havlíček Michal, Haindl Michal: Color Quality Comparison in Spectrally (Un)Correlated Random Field Models, Computer Science Research Notes 3401 1 (2024), p. 197-206 Download Download DOI: 10.24132/CSRN.3401.21 [2024]
  2. Havlíček Michal, Haindl Michal: Texture Spectral Similarity Criteria, IET Image Processing 13 11 (2019), p. 1998-2007 Download Download DOI: 10.1049/iet-ipr.2019.0250 [2019]
  3. Filip Jiří, Kolafová Martina, Havlíček Michal, Vávra Radomír, Haindl Michal, Rushmeier H.: Evaluating Physical and Rendered Material Appearance, Visual Computer 34, p. 805-816 Download DOI: 10.1007/s00371-018-1545-3 [2018]
  4. Filip Jiří, Vávra Radomír, Havlíček Michal, Krupička Mikuláš: Predicting Visual Perception of Material Structure in Virtual Environments, Computer Graphics Forum 36 1 (2017), p. 89-100 Download DOI: 10.1111/cgf.12789 [2017]
  5. Filip Jiří, Havlíček Michal, Vávra Radomír: Adaptive highlights stencils for modeling of multi-axial BRDF anisotropy, Visual Computer 33 1 (2017), p. 5-15 Download DOI: 10.1007/s00371-015-1148-1 [2017]

Other publications

  1. Haindl Michal, Havlíček Michal: Texture Spectral Decorrelation Criteria, Pattern Recognition : 27th International Conference, ICPR 2024, p. 324-333, Eds: Antonacopoulos Apostolos, Chaudhuri Subhasis, Chellappa Rama, Liu Cheng-Lin, Bhattacharya Saumik, Pal Umapada Download Download DOI: 10.1007/978-3-031-78172-8_21 [2025]
  2. Havlíček Michal, Haindl Michal: Texture Spectral Similarity Criteria Comparison, WSCG 2023 Proceedings - 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023, p. 100-106 Download DOI: 10.24132/CSRN.3301.13 [2023]
  3. Havlíček Michal, Haindl Michal: Optimized Texture Spectral Similarity Criteria, Advances in Computational Collective Intelligence, p. 644-655, Eds: Wojtkiewicz Krystian, Treur Jan, Pimenidis Elias, Maleszka Marcin Download DOI: 10.1007/978-3-030-88113-9_52 [2021]
  4. Haindl Michal, Havlíček Michal: Mutual Information-Based Texture Spectral Similarity Criterion, Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019), p. 302-314, Eds: Bebis G., Boyle R., Parvin B., Koracin D. Download DOI: 10.1007/978-3-030-33720-9_23 [2019]
  5. Haindl Michal, Havlíček Michal: A Compound Moving Average Bidirectional Texture Function Model, Multimedia and Network Information Systems, p. 89-98, Eds: Zgrzynowa Alexander, Choros Kazimierz, Sieminski Andrzej Download DOI: 10.1007/978-3-319-43982-2 [2017]
  6. Havlíček Michal, Haindl Michal: Texture spectral similarity criteria, Proceedings of the 4th CIE Expert Symposium on Colour and Visual Appearance, p. 147-154 Download [2016]
  7. Havlíček Michal: Extended Bidirectional Texture Function Moving Average Model, Doktorandské dny 2015, p. 1-7, Eds: Ambrož Petr, Masáková Zuzana Download [2015]
  8. Filip Jiří, Havlíček Michal: Adaptive Highlights Stencils for Modeling of Multi-Axial BRDF Anisotropy, Proceedings of Computer Graphics International 2015 Download [2015]
  9. Havlíček Michal, Haindl Michal, Filip Jiří: Dynamic Textures Modeling Using Temporal Mixing Coefficients Reduction, 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) Download DOI: 10.1109/IWCIM.2014.7008818 [2014]
  10. Havlíček Michal: Dynamic Texture Modelling and Editing Using Temporal Mixing Coefficients Reduction, Doktorandské dny, p. 7-16, Eds: Ambrož P., Masáková Z. Download [2014]
  11. Filip Jiří, Vávra Radomír, Havlíček Michal: Effective Acquisition of Dense Anisotropic BRDF, Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), p. 2047-2052 Download DOI: 10.1109/ICPR.2014.357 [2014]
  12. Havlíček Michal: Dynamic Textures Modelling with Temporal Mixing Coefficients Approximation, Doktorandské dny 2013, p. 41-48 Download [2013]
  13. Havlíček Michal, Haindl Michal: A Moving Average Bidirectional Texture Function Model, Computer Analysis of Images and Patterns, p. 338-345, Eds: Wilson Richard, Bors Adrian, Hancock Edwin, Smith William Download DOI: 10.1007/978-3-642-40246-3_42 [2013]
  14. Havlíček Michal: Bidirectional Texture Function Three Dimensional Pseudo Gaussian Markov Random Field Model, Doktorandské dny 2012, p. 53-62 Download [2012]
  15. Haindl Michal, Havlíček Michal: Bidirectional Texture Function Simultaneous Autoregressive Model, Computational Intelligence for Multimedia Understanding, p. 149-159 Download DOI: 10.1007/978-3-642-32436-9_13 [2012]
  16. Havlíček Michal: MSAR BTF Model, Doktorandské Dny 2011, p. 47-56, Eds: Ambrož Petr, Masáková Zuzana Download [2011]
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