Prof. Ing. Michal Haindl, DrSc.

senior research fellow, head of the department

Michal Haindl
haindl@utia.cas.cz 266052350
Department: Pattern Recognition Department
Research interests: Spatial Data Modelling; Markovian Models; Pattern Recognition; Artificial Intelligence

Biography

Publication list

Michal Haindl graduated from the Czech Technical University in Prague and earned his Ph.D. from the Czechoslovak Academy of Sciences in 1983, 
later obtaining the Sc.D. degree in 2001. He is a Fellow of both the International Association for Pattern Recognition (IAPR) and the Asia-Pacific Artificial Intelligence Association (AAIA), a Senior Member of IEEE, and holds the academic title of Professor.

Since 1983, he has been engaged in research on various topics in image analysis and pattern recognition. His career has included positions at the Institute of Information Theory and Automation (UTIA) of the Czechoslovak Academy of Sciences in Prague; the University of Newcastle; Rutherford Appleton Laboratory; CWI in Amsterdam; and INRIA in Rocquencourt. In 1995, he returned to UTIA, where he currently serves as the 
Head of the Pattern Recognition Department.

He has held part-time research and teaching roles at several universities, where he has taught courses in pattern recognition and advanced pattern recognition—most recently at the Faculty of Information Technology, Czech Technical University in Prague. He has supervised several successful Ph.D. and M.Sc. students.

MH has led or co-led numerous major research initiatives, including large-scale EU-funded and national projects. He has frequently been elected to key scientific leadership roles at both national and international levels and has served on numerous 
scientific advisory and evaluation committees.

Under his leadership, his team received the Award of the Academy of Sciences of the Czech Republic in 2011 for outstanding results of fundamental scientific importance. His current research interests include the application of random fields in pattern recognition and image processing, artificial intelligence, and bidirectional texture function (BTF) texture modeling.

Books and chapters

  1. Haindl Michal: Bidirectional texture function modeling, Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging : Mathematical Imaging and Vision, p. 1023-1064, Eds: Chen Ke, Schonlieb Carola-Bibiane, Tai Xue-Cheng, Younces Laurent Download DOI: 10.1007/978-3-030-98661-2_103 [2023]
  2. Beran H., Bízková R., Bunček M., Burget P., Burian J., Čirličová A., Csank P., Czesaná V., Čížek B., Datel V., Doupovec M., Drábová D., Filová J., Furman J., Haindl Michal, Hajič J., Hanzlík M., Hartl M., Havelka Z., Havle O., Hlaváčková J., Holoubek J., Hrubínek T., Hýbner F., Kaminský D., Knap P., Komárek P., Komzák R., Kopicová M., Krechl J., Kubalík J., Kysela V., Lazar Josef, Mařík V., Matoušková Z., Matyáš V., McKenna S., Mišák S., Novák J., Odvářka E., Palíšek E., Pazour M., Prokš J., Proksch J., Psutka J., Radová V., Rathouský M., Růžička J., Sedláček D., Sirovátka T., Sládek O., Smrž P., Sochor P., Somol Petr, Sotona O., Straková J., Strnad Z., Svítek M., Šamanová T., Šedivý J., Šimák B., Šiser R., Tatýrek D., Václavek P., Václavík M., Valášek M., Vavřín P., Volhejn P., Vrba P., Žára J., Žídek J.: Průmysl 4.0 Výzva pro Českou republiku, Management Press (Praha, 2016) Download [2016]
  3. Haindl Michal, Remeš Václav: Digital Mammogram Enhancement, Mammography Techniques and Review, p. 63-78, Eds: Fernandes Fabiano Cavalcanti, Brasil Lourdes Mattos, da Veiga Guadagnin Renato Download DOI: 10.5772/60988 [2015]
  4. Haindl Michal, Filip Jiří: Visual Texture : Accurate Material Appearance Measurement, Representation and Modeling, Springer-Verlag London (London, 2013) Download DOI: 10.1007/978-1-4471-4902-6 [2013]
  5. Haindl Michal: Visual Data Recognition and Modeling Based on Local Markovian Models, Mathematical Methods for Signal and Image Analysis and Representation, p. 241-259, Eds: Florack Luc, Duits Remco, Jongbloed Geurt, Lieshout Marie-Colette, Davies Laurie Download DOI: 10.1007/978-1-4471-2353-8_14 [2012]
  6. Vácha Pavel, Haindl Michal: Illumination Invariants Based on Markov Random Fields, Pattern Recognition, Recent Advances, p. 253-272 Download [2010]
  7. Haindl Michal, Mikeš Stanislav: Unsupervised Texture Segmentation, Pattern Recognition, p. 227-248 Download [2008]
  8. Haindl Michal, Žid Pavel: Multimodal Range Image Segmentation, Vision Systems, Segmentation & Pattern Recognition, p. 25-46, Eds: Obinata Goro, Dutta Ashish Download [2007]
  9. Haindl Michal: Model-based pattern recognition, Pattern Recognition and String Matching, p. 201-236, Eds: Chen D., Cheng X., Kluwer (Dordrecht, 2003) [2003]
  10. Haindl Michal, Šimberová Stanislava: Model-based restoration of short-exposure solar images, Soft Computing Systems Design, Management and Applications, p. 697-706, Eds: Abraham A., Ruiz-del-Solar J., Koppen M., IOS Press (Amsterdam, 2002) [2002]
  11. Haindl K., Haindl Michal: Aeration at hydraulic structures, Developments in Hydraulic Engineering - 2, p. 95-134, Gihodo (Tokyo, 2001) [2001]
  12. Haindl Michal, Šimberová Stanislava: A regression model contribution to astronomical image reconstruction, Data Analysis in Astronomy, p. 303-310, Eds: Di Gesu V., Duff M. J. B., Heck A., World Scientific (Singapore, 1997) [1997]
  13. Haindl Michal: Rozpoznávání obrazových dat, Aerokosmické metody v geologii, p. 1-11, Přírodovědecká fakulta UK (Praha, 1988) [1988]

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. Vácha Pavel, Haindl Michal: Texture recognition under scale and illumination variations, Journal of Information and Telecommunication 8 1 (2024), p. 130-148 Download Download DOI: 10.1080/24751839.2023.2265190 [2024]
  3. Žid Pavel, Haindl Michal, Havlíček Vojtěch: Governmental Anti-Covid Measures Effectiveness Detection, Procedia Computer Science 225 1 (2023), p. 2922-2931 Download Download DOI: 10.1016/j.procs.2023.10.285 [2023]
  4. Mikeš Stanislav, Haindl Michal: Texture Segmentation Benchmark, IEEE Transactions on Pattern Analysis and Machine Intelligence 44 9 (2022), p. 5647-5663 Download Download DOI: 10.1109/TPAMI.2021.3075916 [2022]
  5. 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]
  6. Remeš Václav, Haindl Michal: Bark recognition using novel rotationally invariant multispectral textural features, Pattern Recognition Letters 125 1 (2019), p. 612-617 Download Download DOI: 10.1016/j.patrec.2019.06.027 [2019]
  7. Haindl Michal, Remeš Václav: Pseudocolor enhancement of mammogram texture abnormalities, Machine Vision and Applications 30 4 (2019), p. 785-794 Download Download DOI: 10.1007/s00138-019-01028-6 [2019]
  8. Remeš Václav, Haindl Michal: Region of Interest Contrast Measures, Kybernetika 54 5 (2018), p. 978-990 Download DOI: 10.14736/kyb-2018-5-0978 [2018]
  9. 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]
  10. Haindl Michal, Mikeš Stanislav: A competition in unsupervised color image segmentation, Pattern Recognition 57 9 (2016), p. 136-151 Download DOI: 10.1016/j.patcog.2016.03.003 [2016]
  11. Haindl Michal, Sedláček Matěj, Vávra Radomír: Virtual Reconstruction of Cultural Heritage Artifacts, ERCIM News 2015 103 (2015), p. 12-13 Download [2015]
  12. Mikeš Stanislav, Haindl Michal, Scarpa G., Gaetano R.: Benchmarking of Remote Sensing Segmentation Methods, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 5 (2015), p. 2240-2248 Download DOI: 10.1109/JSTARS.2015.2416656 [2015]
  13. Haindl Michal, Krupička Mikuláš: Unsupervised detection of non-iris occlusions, Pattern Recognition Letters 57 5 (2015), p. 60-65 Download DOI: 10.1016/j.patrec.2015.02.012 [2015]
  14. Haindl Michal, Mikeš Stanislav: Unsupervised Image Segmentation, IAPR Newsletter 36 4 (2014), p. 23-23 Download [2014]
  15. Haindl Michal, Kittler J.: Introduction to the Special Theme Image Understanding, ERCIM News 95 95 (2013), p. 9-9 Download [2013]
  16. Vácha Pavel, Haindl Michal: Wood Variety Recognition on Mobile Devices, ERCIM News 2013 93 (2013), p. 52-52 Download [2013]
  17. Hatka Martin, Haindl Michal: Advanced Material Rendering in Blender, The International Journal of Virtual Reality 11 2 (2012), p. 15-23 Download [2012]
  18. Haindl Michal, Filip Jiří, Vávra Radomír: Digital Material Appearance: the Curse of Tera-Bytes, ERCIM News 2012 90 (2012), p. 49-50 Download [2012]
  19. Mikeš Stanislav, Haindl Michal, Holub Radek: National Gallery in Prague, ERCIM News 2011 86 (2011), p. 23-24 Download [2011]
  20. Haindl Michal, Havlíček Vojtěch, Grim Jiří: Probabilistic mixture-based image modelling, Kybernetika 47 3 (2011), p. 482-500 Download [2011]
  21. Vácha Pavel, Haindl Michal: Content-Based tile Retrieval System, ERCIM News 85 (2011), p. 45-45 Download [2011]
  22. Vácha Pavel, Haindl Michal, Suk Tomáš: Colour and rotation invariant textural features based on Markov random fields, Pattern Recognition Letters 32 6 (2011), p. 771-779 Download DOI: 10.1016/j.patrec.2011.01.002 [2011]
  23. Chetverikov D., Fazekas S., Haindl Michal: Dynamic texture as foreground and background, Machine Vision and Applications 22 5 (2011), p. 741-750 Download DOI: 10.1007/s00138-010-0251-6 [2011]
  24. Haindl Michal: Scientometry Leading us Astray, ERCIM News 2010 82 (2010), p. 8-8 Download [2010]
  25. Haindl Michal, Filip Jiří, Hatka Martin: Realistic Material Appearance Modelling, ERCIM News 2010 81 (2010), p. 13-14 Download [2010]
  26. Filip Jiří, Chantler M.J., Haindl Michal: On uniform resampling and gaze analysis of bidirectional texture functions, ACM Transactions on Applied Perception 6 3 (2009), p. 1-15 Download DOI: doi.acm.org/10.1145/1577755.1577761 [2009]
  27. Filip Jiří, Haindl Michal: Bidirectional Texture Function Modeling: State of the Art Survey, IEEE Transactions on Pattern Analysis and Machine Intelligence 31 11 (2009), p. 1921-1940 Download DOI: doi.ieeecomputersociety.org/10.1109/TPAMI.2008.246 [2009]
  28. Scarpa G., Gaetano R., Haindl Michal, Zerubia J.: Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation, IEEE Transactions on Image Processing 18 8 (2009), p. 1830-1843 Download DOI: 10.1109/TIP.2009.2020534 [2009]
  29. Grim Jiří, Somol Petr, Haindl Michal, Daneš J.: Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models, IEEE Transactions on Image Processing 18 4 (2009), p. 765-773 DOI: 10.1109/TIP.2008.2011168 [2009]
  30. Filip Jiří, Chantler M.J., Green P.R., Haindl Michal: A psychophysically validated metric for bidirectional texture data reduction, ACM Transactions on Graphics 27 5 (2008), p. 138:1-138:11 Download DOI: http://doi.acm.org/10.1145/1457515.1409091 [2008]
  31. Haindl Michal, Havlíček Vojtěch, Grim Jiří: Probabilistic Discrete Mixtures Colour Texture Models, Lecture Notes in Computer Science 2008 5197 (2008), p. 675-682 Download DOI: dx.doi.org/10.1007/978-3-540-85920-8_82 [2008]
  32. Filip Jiří, Haindl Michal: BTF Modelling using BRDF Texels, International Journal of Computer Mathematics 84 9 (2007), p. 1267-1283 Download DOI: 10.1080/00207160701253802 [2007]
  33. Haindl Michal, Mikeš Stanislav, Scarpa G.: Unsupervised Detection of Mammogram Regions of Interest, Lecture Notes in Computer Science 2007, p. 33-40 Download DOI: 10.1007/978-3-540-74829-8_5 [2007]
  34. Novovičová Jana, Somol Petr, Haindl Michal, Pudil Pavel: Conditional Mutual Information Based Feature Selection for Classification Task, Lecture Notes in Computer Science 45 4756 (2007), p. 417-426 [2007]
  35. Haindl Michal, Filip Jiří: Extreme Compression and Modeling of Bidirectional Texture Function, IEEE Transactions on Pattern Analysis and Machine Intelligence 29 10 (2007), p. 1859-1865 Download [2007]
  36. Haindl Michal, Grim Jiří, Mikeš Stanislav: Texture Defect Detection, Lecture Notes in Computer Science 2007, p. 987-994 Download [2007]
  37. Scarpa G., Haindl Michal, Zerubia J.: A hierarchical texture model for unsupervised segmentation of remotely sensed images, Lecture Notes in Computer Science - 4522 (2007), p. 303-312 Download [2007]
  38. Haindl Michal, Mikeš Stanislav: Unsupervised Texture Segmentation Using Multiple Segmenters Strategy, Lecture Notes in Computer Science 2007 4472 (2007), p. 210-219 [2007]
  39. Grim Jiří, Somol Petr, Haindl Michal, Pudil Pavel: Color Texture Segmentation by Decomposition of Gaussian Mixture Model, Lecture Notes in Computer Science 19 4225 (2006), p. 287-296 Download [2006]
  40. Haindl Michal, Somol Petr, Ververidis D., Kotropoulos C.: Feature Selection Based on Mutual Correlation, Lecture Notes in Computer Science 19 4225 (2006), p. 569-577 Download [2006]
  41. Filip Jiří, Haindl Michal: BTF Modelling Using BRDF Texels, Lecture Notes in Computer Science 4153 (2006), p. 475-484 Download [2006]
  42. Filip Jiří, Haindl Michal, Chetverikov D.: Fast Synthesis of Dynamic Colour Textures, ERCIM News 66 (2006), p. 53-54 Download [2006]
  43. Mikeš Stanislav, Haindl Michal: Prague texture segmentation data generator and benchmark, ERCIM News 2006 64 (2006), p. 67-68 [2006]
  44. Haindl Michal, Mikeš Stanislav: Colour texture segmentation using modelling approach, Pattern Recognition and Image Analysis 3687 - (2005), p. 484-491 [2005]
  45. Haindl Michal, Filip Jiří: Modelling of authentic reflectance behaviour in virtual environments, ERCIM News, p. 49-50 [2005]
  46. Haindl Michal, Šimberová Stanislava: Restoration of multitemporal short-exposure astronomical images, Proceedings of the 14th Scandinavian Conference on Image Analysis. SCIA 2005 3540 [2005]
  47. Grim Jiří, Haindl Michal: Texture modelling by discrete distribution mixtures, Computational Statistics and Data Analysis 41, p. 603-615 [2003]
  48. Pudil Pavel, Haindl Michal: Czech Pattern Recognition Society, IAPR Newsletter 23 3 (2001), p. 4-5 [2001]
  49. Haindl Michal, Kittler J.: Autonomous acquisition of virtual reality models from real world scenes, Cultivate Interactive, p. 30-38 Download [2001]
  50. Haindl Michal, Slavík P.: Image-based acquisition of virtual gallery model, ERCIM News, p. 15 [2001]
  51. Haindl Michal, Havlíček Vojtěch: Colour texture modelling, ERCIM News, p. 23-24 [2001]
  52. Haindl Michal, Šimberová Stanislava: A scratch removal method, Kybernetika 34 4 (1998), p. 423-428 [1998]
  53. Andris P., Costeira J. P., Dobrovodský K., Haindl Michal, Kittler J., Kurdel P., Santos-Victor J., Stoddart A. J.: VIRTUOUS, ERCIM News, p. 25 [1997]
  54. Pudil Pavel, Haindl Michal: Statistical techniques in pattern recognition, ERCIM News, p. 57 [1997]
  55. Haindl Michal, Wiedermann Jiří: ERCIM meetings in Prague, ERCIM News, p. 2-3 Download [1997]
  56. Haindl Michal: IAPR on the Network!, IAPR Newsletter 18 1 (1996), p. 5 [1996]
  57. Haindl Michal: HIT Browser, ERCIM News, p. 12 [1996]
  58. Haindl Michal: A new multimedia synchronization model, IEEE Journal on Selected Areas in Communications 14 1 (1996), p. 73-83 [1996]
  59. Haindl Michal, Šimberová Stanislava: A high - resolution radiospectrograph image reconstruction method. , Astronomy and Astrophysics Supplement Series 115, p. 189-193 [1996]
  60. Haindl Michal, de Ruiter M. M.: The MADE help system, Computer Graphics Forum 14 3 (1995), p. 149-157 [1995]
  61. Růžička Bohumil, Haindl Michal: DX kód, Fotografie 41 4 (1990), p. 176-177 [1990]

Other publications

  1. Žid Pavel, Haindl Michal, Havlíček Vojtěch: Czech Anti-Covid Rules Evaluation, Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024), p. 537-546, Eds: Su Ruidan, Frangi Alejandro F., Zhang Yudong Download Download DOI: 10.1007/978-981-96-3863-5_49 [2025]
  2. 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]
  3. Haindl Michal: Survival Modeling of Disease Consequences and Post-disease Syndromes, Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023), p. 365-374, Eds: Su Ruidan, Zhang Yudong, Frangi Alejandro F. Download Download DOI: 10.1007/978-981-97-1335-6_32 [2024]
  4. Kříž P., Haindl Michal: Multispectral Texture Benchmark, Procedia Computer Science : Volume 225, 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023, p. 3143-3152 Download Download DOI: 10.1016/j.procs.2023.10.308 [2023]
  5. Haindl Michal, Shaih N.: Texture Quality Criteria Comparison, Proceedings of the 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW 2023) Download DOI: 10.1109/ICASSPW59220.2023.10193606 [2023]
  6. 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]
  7. Mikeš Stanislav, Haindl Michal: Optimal Activation Function for Anisotropic BRDF Modeling, Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP, p. 162-169, Eds: Sousa A. Augusto, Bashford-Rogers Thomas, Bouatouch Kadi Download DOI: 10.5220/0011616200003417 [2023]
  8. Haindl Michal, Havlíček Vojtěch: BRDF Anisotropy Criterion, Intelligent Information and Database Systems, p. 434-444, Eds: Nguyen Ngoc Thanh, Tran Tien Khoa, Tukayev Ualsher, Hong Tzung-Pei, Trawinski Bogdan, Szczerbicki Edward Download DOI: 10.1007/978-3-031-21967-2_35 [2022]
  9. Vácha Pavel, Haindl Michal: Textural Features Sensitivity to Scale and Illumination Variations, Advances in Computational Collective Intelligence : 14th International Conference, ICCCI 2022, p. 237-249 Download DOI: 10.1007/978-3-031-16210-7_19 [2022]
  10. Haindl Michal, Žid Pavel: Melanoma Recognition, Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, p. 722-729, Eds: Farinella G.M., Radeva P., Bouatouch K. Download DOI: 10.5220/0000156800003124 [2022]
  11. 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]
  12. Moudrá A., Haindl Michal: Underground Archeological Structures Detection, Advances in Computational Collective Intelligence, p. 690-702, Eds: Wojtkiewicz Krystian, Treur Jan, Pimenidis Elias, Maleszka Marcin Download DOI: 10.1007/978-3-030-88113-9_56 [2021]
  13. Haindl Michal, Havlíček Vojtěch: Transfer Learning of Mixture Texture Models, Computational Collective Intelligence, p. 825-837, Eds: Nguyen N. T., Hoang B. H., Huynh C. P., Hwang D., Trawinski B., Vossen G. Download DOI: 10.1007/978-3-030-63007-2_65 [2020]
  14. Haindl Michal, Havlíček Vojtěch: 3D Multi-frequency Fully Correlated Causal Random Field Texture Model, Pattern Recognition, p. 423-434, Eds: Palaiahnakote Shivakumara, Sanniti di Baja Gabriella, Wang Liang, Yan Wei Qi Download DOI: 10.1007/978-3-030-41299-9_33 [2020]
  15. Haindl Michal, Žid Pavel: Coniferous Trees Needles-Based Taxonomy Classification, International Conference on Image and Vision Computing New Zealand 2019 (IVCNZ 2019), p. 1-6 Download DOI: 10.1109/IVCNZ48456.2019.8961023 [2019]
  16. Mikeš Stanislav, Haindl Michal: View Dependent Surface Material Recognition, Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019), p. 156-167, Eds: Bebis G., Boyle R., Parvin B., Koracin D. Download DOI: 10.1007/978-3-030-33720-9_12 [2019]
  17. 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]
  18. Kudělka Miloš, Haindl Michal: Multispectral Texture Fidelity Measure, SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, p. 658-663, Eds: Sanniti di Baja G., Gallo L., Yetongnon K., Dipanda A., Castrillón-Santana M., Chbeir R. Download DOI: 10.1109/SITIS.2018.00106 [2018]
  19. Haindl Michal, Havlíček Vojtěch: BTF Compound Texture Model with Fast Iterative Non-Parametric Control Field Synthesis, SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, p. 98-105, Eds: Sanniti di Baja G., Gallo L., Yetongnon K., Dipanda A., Castrillón-Santana M., Chbeir R. Download DOI: 10.1109/SITIS.2018.00025 [2018]
  20. Richtr Radek, Haindl Michal: Dynamic Texture Similarity Criterion, The 24th International Conference on Pattern Recognition (ICPR 2018), p. 904-909 Download DOI: 10.1109/ICPR.2018.8545370 [2018]
  21. Haindl Michal, Havlíček Vojtěch: BTF Compound Texture Model with Non-Parametric Control Field, The 24th International Conference on Pattern Recognition (ICPR 2018), p. 1151-1156 Download DOI: 10.1109/ICPR.2018.8545322 [2018]
  22. Remeš Václav, Haindl Michal: Rotationally Invariant Bark Recognition, Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018, p. 22-31, Eds: Bai X., Hancock E., Ho T., Wilson R., Biggio B., Robles-Kelly A. Download DOI: 10.1007/978-3-319-97785-0_3 [2018]
  23. Sedláček Matěj, Haindl Michal, Formanová D.: An Automatic Tortoise Specimen Recognition, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, p. 52-59, Eds: Beltran-Castanon C., Nystrom I., Famili F. Download DOI: 10.1007/978-3-319-52277-7_7 [2017]
  24. Haindl Michal, Vácha Pavel: Scale Sensitivity of Textural Features, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, p. 84-92, Eds: Beltran-Castanon C., Nystrom I., Famili F. Download DOI: 10.1007/978-3-319-52277-7_11 [2017]
  25. Haindl Michal, Havlíček Vojtěch: Two Compound Random Field Texture Models, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, p. 44-51, Eds: Beltran-Castanon C., Nystrom I., Famili F. Download DOI: 10.1007/978-3-319-52277-7_6 [2017]
  26. 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]
  27. Haindl Michal, Sedláček Matěj: Virtual reconstruction of cultural heritage artifacts, 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), p. 1-5 Download DOI: 10.1109/IWCIM.2016.7801178 [2016]
  28. Kudo M., Kimura K., Haindl Michal, Tenmoto H.: Simultaneous Visualization of Samples, Features and Multi-Labels, Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), p. 3592-3597 Download DOI: 10.1109/ICPR.2016.7900193 [2016]
  29. Haindl Michal, Havlíček Vojtěch: Three-dimensional Gaussian Mixture Texture Model, Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), p. 2026-2031 Download DOI: 10.1109/ICPR.2016.7899934 [2016]
  30. Kudělka Miloš, Haindl Michal: Texture fidelity criterion, Proceedings of the 2016 IEEE International Conference on Image Processing Download DOI: 10.1109/ICIP.2016.7532721 [2016]
  31. Filip Jiří, Vávra Radomír, Haindl Michal: Capturing Material Visualization Data using Goniometers, Proceedings of the 4th CIE Expert Symposium on Colour and Visual Appearance, p. 121-127 Download [2016]
  32. 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]
  33. Remeš Václav, Haindl Michal: Classification of breast density in X-ray mammography, 2015 International Workshop on Computational Intelligence for Multimedia Understanding, p. 1-5 Download DOI: 10.1109/IWCIM.2015.7347085 [2015]
  34. Richtr Radek, Haindl Michal: Dynamic Texture Editing, Proceedings of the 31st Spring Conference on Computer Graphics, p. 133-140, Eds: Jorge Joaquim , Santos Luis Paulo, Durikovic Roman Download DOI: 10.1145/2788539.2788559 [2015]
  35. Haindl Michal, Mikeš Stanislav, Kudo M.: Unsupervised Surface Reflectance Field Multi-segmenter, Computer Analysis of Images and Patterns - CAIP 2015, p. 261-273, Eds: Azzopardi George, Petkov Nicolai Download DOI: 10.1007/978-3-319-23192-1_22 [2015]
  36. Haindl Michal, Vácha Pavel: Wood Veneer Species Recognition using Markovian Textural Features, Computer Analysis of Images and Patterns - CAIP 2015, p. 300-311, Eds: Azzopardi George, Petkov Nicolai Download DOI: 10.1007/978-3-319-23192-1_25 [2015]
  37. Haindl Michal, Havlíček Vojtěch: Color Texture Restoration, IEEE 7th International Conferences on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM), p. 13-18 Download DOI: 10.1109/ICCIS.2015.7274540 [2015]
  38. Haindl Michal, Remeš Václav, Havlíček Vojtěch: BTF Potts compound texture model, Measuring, Modeling, and Reproducing Material Appearance 2015 Download DOI: 10.1117/12.2077481 [2015]
  39. Haindl Michal, Kudělka Miloš: Texture Fidelity Benchmark, 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) Download DOI: 10.1109/IWCIM.2014.7008812 [2014]
  40. 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]
  41. Haindl Michal, Remeš Václav: Adaptive Model-Based Mammogram Enhancement, Proceedings of the Tenth International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2014, p. 65-72, Eds: Yetongno Kokou, Dipanda Albert, Chbeir Richard Download DOI: 10.1109/SITIS.2014.53 [2014]
  42. Haindl Michal, Krupička Mikuláš: Accurate Detection of Non-Iris Occlusions, Proceedings of the Tenth International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2014, p. 49-56, Eds: Yetongno Kokou, Dipanda Albert, Chbeir Richard Download DOI: 10.1109/SITIS.2014.48 [2014]
  43. Haindl Michal, Mikeš Stanislav: Unsupervised Image Segmentation Contest, Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), p. 1484-1489 Download DOI: 10.1109/ICPR.2014.264 [2014]
  44. Filip Jiří, Grim Jiří, Haindl Michal: A Probabilistic Approach to Rough Texture Compression and Rendering, MUSCLE International Workshop on Computational Intelligence for Multimedia Understanding, p. 8-12 Download [2013]
  45. Haindl Michal, Richtr Radek: Dynamic Texture Enlargement, Proceedings of the 29th Spring conference on Computer Graphics (SCCG), p. 13-20 Download [2013]
  46. Haindl Michal, Remeš Václav: Efficient Textural Model-Based Mammogram Enhancement, 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), p. 522-523 Download DOI: 10.1109/CBMS.2013.6627859 [2013]
  47. Haindl Michal, Krupička Mikuláš: Non-Iris Occlusions Detection, Biometrics: Theory, Applications and Systems (BTAS), 2013, p. 1-6 Download DOI: 10.1109/BTAS.2013.6712729 [2013]
  48. 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]
  49. Haindl Michal, Mikeš Stanislav: Unsupervised Dynamic Textures Segmentation, Computer Analysis of Images and Patterns, p. 433-440, Eds: Wilson Richard, Bors Adrian, Hancock Edwin, Smith William Download DOI: 10.1007/978-3-642-40261-6_52 [2013]
  50. Filip Jiří, Vávra Radomír, Haindl Michal, Žid Pavel, Krupička Mikuláš, Havran V.: BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition, Proceedings of the 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 1468-1473 Download DOI: 10.1109/CVPR.2013.193 [2013]
  51. Mikeš Stanislav, Haindl Michal, Scarpa G.: Remote Sensing Segmentation Benchmark, 2012 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), p. 1-4 Download DOI: 10.1109/PPRS.2012.6398320 [2012]
  52. Šimberová Stanislava, Haindl Michal, Šroubek Filip: Fine Structure Recognition in Multichannel Observations, International Conference on Digital Image Computing Techniques and Applications (DICTA) 2012, p. 1-7 Download DOI: 10.1109/DICTA.2012.6411740 [2012]
  53. Haindl Michal, Remeš Václav, Havlíček Vojtěch: Potts Compound Markovian Texture Model, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), p. 29-32 Download [2012]
  54. Filip Jiří, Haindl Michal, Stančík J.: Predicting Environment Illumination Effects on Material Appearance, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), p. 2075-2078 Download [2012]
  55. 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]
  56. Vácha Pavel, Haindl Michal: Texture Recognition using Robust Markovian Features, Computational Intelligence for Multimedia Understanding, p. 126-137 Download DOI: 10.1007/978-3-642-32436-9_11 [2012]
  57. Filip Jiří, Vácha Pavel, Haindl Michal: Analysis of Human Gaze Interactions with Texture and Shape, Computational Intelligence for Multimedia Understanding, p. 160-171 Download DOI: 10.1007/978-3-642-32436-9_14 [2012]
  58. Haindl Michal, Havlíček Vojtěch: A Plausible Texture Enlargement and Editing Compound Markovian Model, Computational Intelligence for Multimedia Understanding, p. 138-148 Download DOI: 10.1007/978-3-642-32436-9_12 [2012]
  59. Filip Jiří, Haindl Michal: User Study of Viewing and Illumination Dependent Material Appearance, Predicting Perceptions: Proceedings of the 3rd International Conference on Appearance, p. 34-38 Download [2012]
  60. Haindl Michal, Filip Jiří: Advanced textural representation of materials appearance, Proceedings of SA '11 SIGGRAPH Asia 2011 Courses, p. 1-84 Download [2011]
  61. Hatka Martin, Haindl Michal: BTF Rendering in Blender, Proceedings of VRCAI 2011: ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications to Industry, p. 265-272 Download [2011]
  62. Šimberová Stanislava, Haindl Michal, Flusser Jan: Mathematics improves astronomical image understanding, Mathematics and Astronomy: A joint Long Journey, p. 215-221, Eds: de Leon Manuel, de Diego D.M., Ros R.M. [2010]
  63. Haindl Michal, Hatka Martin: Near-Regular BTF Texture Model, 20th International Conference on Pattern Recognition, p. 2114-2117 Download DOI: 10.1109/10.1109/ICPR.2010.518 [2010]
  64. Haindl Michal, Havlíček Vojtěch: A Compound MRF Texture Model, 20th International Conference on Pattern Recognition, p. 1792-1795 Download DOI: 10.1109/ICPR.2010.442 [2010]
  65. Filip Jiří, Haindl Michal, Chantler M.J.: Gaze-Motivated Compression of Illumination and View Dependent Textures, 20th International Conference on Pattern Recognition, p. 862-865 Download [2010]
  66. Vácha Pavel, Haindl Michal: Natural Material Recognition with Illumination Invariant Textural Features, 20th International Conference on Pattern Recognition, p. 858-861 Download DOI: 10.1109/ICPR.2010.216 [2010]
  67. Vácha Pavel, Haindl Michal: Content-Based Tile Retrieval System, Structural, Syntactic, and Statistical Pattern Recognition, p. 434-443 Download DOI: 10.1007/978-3-642-14980-1_42 [2010]
  68. Filip Jiří, Vácha Pavel, Haindl Michal, Green P.R.: A Psychophysical Evaluation of Texture Degradation Descriptors, Structural, Syntactic, and Statistical Pattern Recognition, p. 423-433 Download DOI: 10.1007/978-3-642-14980-1_41 [2010]
  69. Haindl Michal: ERCIM News no.80 - Digital Preservation (2010) [2010]
  70. Haindl Michal, Havlíček Vojtěch, Grim Jiří: Colour Texture Representation Based on Multivariate Bernoulli Mixtures, 10th International Conference on Information Sciences, Signal Processing and their Applications, p. 578-581 Download [2010]
  71. Haindl Michal, Žid Pavel, Holub Radek: Range Video Segmentation, 10th International Conference on Information Sciences, Signal Processing and their Applications, p. 369-372 Download [2010]
  72. Haindl Michal: ERCIM News no. 77 - 79 (2009) [2009]
  73. Haindl Michal, Mikeš Stanislav, Vácha Pavel: Illumination Invariant Unsupervised Segmenter, Proceedings of the 16th International Conference on Image Processing, ICIP 2009, p. 4025-4028 Download [2009]
  74. Vácha Pavel, Haindl Michal: Illumination Invariant and Rotational Insensitive Textural Representation, Proceedings of the 16th International Conference on Image Processing, ICIP 2009, p. 1333-1336 Download [2009]
  75. Haindl Michal, Havlíček Vojtěch: Texture Editing Using Frequency Swap Strategy, Computer Analysis of Images and Patterns, p. 1146-1153 Download [2009]
  76. Haindl Michal, Hatka Martin: Near-Regular Texture Synthesis, Computer Analysis of Images and Patterns, p. 1138-1145 Download [2009]
  77. Haindl Michal, Mikeš Stanislav, Pudil Pavel: Unsupervised Hierarchical Weighted Multi-Segmenter, Multiple Classifier Systems, LNCS 5519, p. 272-282, Eds: Benediktsson J.A., Kittler J., Roli F. Download [2009]
  78. Haindl Michal, Hatka Martin: Generalized Roller, Proceedings of the 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2009, p. 73-80, Eds: Chen Min, Skala Vaclav Download [2009]
  79. Haindl Michal, Mikeš Stanislav: Texture Segmentation Benchmark, Proceedings of the 19th International Conference on Pattern Recognition, p. 2933-2936 Download [2008]
  80. Filip Jiří, Haindl Michal: Fast and Reliable PCA-Based Temporal Segmentation of Video Sequences, Proceedings of the 19th International Conference on Pattern Recognition, p. 1-4 Download [2008]
  81. Vácha Pavel, Haindl Michal: Illumination Invariants Based on Markov Random Fields, Proceedings of the 19th International Conference on Pattern Recognition, p. 3588-3591 Download [2008]
  82. Haindl Michal, Mikeš Stanislav: Unsupervised Mammograms Segmentation, Proceedings of the 19th International Conference on Pattern Recognition, p. 676-679 Download [2008]
  83. Mikeš Stanislav, Haindl Michal, Holub Radek: Navigation in Virtual Environment, 2nd International Conference EVA, p. 111-118 Download [2008]
  84. Filip J., Chantler M.J., Haindl Michal: On Optimal Resampling of View and Illumination Dependent Textures, Fifth Symposium on Applied Perception in Graphics and Visualization, p. 131-134 Download [2008]
  85. Haindl Michal: ERCIM News (no. 72-75) (2008) [2008]
  86. Vácha Pavel, Haindl Michal: Demonstration of image retrieval based on illumination invariant textural MRF features, CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval, p. 135-137 Download [2007]
  87. Vácha Pavel, Haindl Michal: Image retrieval measures based on illumination invariant textural MRF features, CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval, p. 448-454 Download [2007]
  88. Haindl Michal, Kittler J., Roli F.: International Workshop on Multiple Classifier Systems /7./ [2007]
  89. Haindl Michal, Šimberová Stanislava: Validation of Classical and Blind Criteria for Image Quality Evaluation, Proceedings of the Ninth IASTED International Conference on Signal and Image Processing, p. 218-223 [2007]
  90. Haindl Michal, Šimberová Stanislava: Probabilistic suppression of astronomical image degradations, Modern solar facilities - advanced solar science, p. 127-130, Eds: Kneer F., Puschmann K.G., Wittmann A.D. Download [2007]
  91. Scarpa G., Haindl Michal, Zerubia J.: A Hierarchical Finite-State Model for Texture Segmentation, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'07) /32./, p. 1209-1212 [2007]
  92. Pudil Pavel, Somol Petr, Haindl Michal: Selection of Most Informative Variables in Statistical Pattern Recognition, UWB (Plzeň, 2007) [2007]
  93. Haindl Michal, Pudil Pavel, Somol Petr: Model-Based Visual Inspection, UWB (Plzeň, 2007) [2007]
  94. Haindl Michal: Multiple Classifier Systems [2007]
  95. Multiple Classifier Systems, Springer (Berlin, 2007) [2007]
  96. ERCIM News (č. 68-71) (2007) [2007]
  97. Haindl Michal, Šimberová Stanislava: Probabilistic suppression of astronomical degradations, Proceedings of Abstracts of Modern Solar Facilities - Advanced Solar Science, p. 1-1 [2007]
  98. Haindl Michal, Somol Petr: Statistical Analysis of Medical Images and Its Possible Impact on Medical Practice, International Conference Efficiency, Quality and Consumer Satisfaction in Healthcare and Welfare, p. 1-1 [2007]
  99. Pudil Pavel, Somol Petr, Haindl Michal: Introduction to Statistical Pattern Recognition, MATEO - The European Network of Mechatronics Centres and Industrial Controllers 2006, p. 163-170 [2006]
  100. Haindl Michal, Pudil Pavel, Somol Petr: Pattern Recognition Based on Multidimensional Models, MATEO - The European Network of Mechatronics Centres and Industrial Controllers 2006, p. 80-86 [2006]
  101. Scarpa G., Haindl Michal, Zerubia J.: Hierarchical Finite-State Modeling for Texture Segmentation with Application to Forest Classification, Institut National de Recherche en Informatique et en Automatique (Sophia Antipolis, 2006) Download [2006]
  102. ERCIM News (č. 64-67) (2006) [2006]
  103. Grim Jiří, Haindl Michal, Somol Petr, Pudil Pavel: A subspace approach to texture modelling by using Gaussian mixtures, Proceedings of the 18th Conference on Pattern Recognition. ICPR 2006, p. 235-238, Eds: Haralic B., Ho T. K. [2006]
  104. Haindl Michal, Vácha Pavel: Illumination Invariant Texture Retrieval, Proceedings of ICPR 2006 - The 18th International Conference on Pattern Recognition, p. 276-279, Eds: Tang Y.Y., Wang S.P., Yeung D.S., Yan H., Lorette G. Download [2006]
  105. Haindl Michal, Mikeš Stanislav: Unsupervised Texture Segmentation Using Multispectral Modelling Approach, Proceedings of ICPR 2006 - The 18th International Conference on Pattern Recognition, p. 203-206, Eds: Tang Y.Y., Wang S.P., Yeung D.S., Yan H., Lorette G. Download [2006]
  106. Haindl Michal, Scarpa G.: Unsupervised Texture Segmentation by Spectral-Spatial-Independent, Proceedings of ICPR 2006 - The 18th International Conference on Pattern Recognition, p. 151-154, Eds: Tang Y.Y., Wang S.P., Yeung D.S., Yan H., Lorette G. Download [2006]
  107. Filip Jiří, Haindl Michal, Chetverikov D.: Fast Synthesis of Dynamic Colour Textures, Proceedings of ICPR 2006 - The 18th International Conference on Pattern Recognition, p. 25-28, Eds: Tang Y.Y., Wang S.P., Yeung D.S., Yan H., Lorette G. Download [2006]
  108. Haindl Michal, Žid Pavel: Multimodal Range Image Segmentation by Curve Grouping, Proceedings of ICPR 2006 - The 18th International Conference on Pattern Recognition, p. 9-12, Eds: Tang Y.Y., Wang S.P., Yeung D.S., Yan H., Lorette G. Download [2006]
  109. Haindl Michal, Hatka M.: BTF Roller, Texture 2005. Proceedings of the 4th International Workshop on Texture Analysis, p. 89-94, Eds: Chantler M., Drbohlav O., IEEE (Los Alamitos, 2005) [2005]
  110. Haindl Michal, Grim Jiří, Pudil Pavel, Kudo M.: A hybrid BTF model based on Gaussian mixtures, Texture 2005. Proceedings of the 4th International Workshop on Texture Analysis, p. 95-100, Eds: Chantler M., Drbohlav O., IEEE (Los Alamitos, 2005) [2005]
  111. Filip Jiří, Haindl Michal: Efficient image-based Bidirectional Texture Function model, Texture 2005. Proceedings of the 4th International Workshop on Texture Analysis, p. 7-12, Eds: Chantler M., Drbohlav O., IEEE (Los Alamitos, 2005) [2005]
  112. Meseth J., Degener P., Klein R., Haindl Michal, Filip Jiří, Somol Petr: Texture Synthesis on Surfaces, ÚTIA AV ČR (Praha, 2005) [2005]
  113. Haindl Michal, Filip Jiří, Somol Petr: Texturing Library - Reference Manual, ÚTIA AV ČR (Praha, 2005) [2005]
  114. Haindl Michal, Šimberová Stanislava: Restoration of Multitemporal Short-Exposure Astronomical Images, ÚTIA AV ČR (Praha, 2005) [2005]
  115. Somol Petr, Haindl Michal: Novel Path Search Algorithm for Image Stitching and Advanced Texture Tiling, ÚTIA AV ČR (Praha, 2005) [2005]
  116. Haindl Michal, Hatka M.: A Roller - Fast Sampling-Based Texture Synthesis Algorithm, ÚTIA AV ČR (Praha, 2005) [2005]
  117. Somol Petr, Haindl Michal: Novel path search algorithm for image stitching and advanced texture tiling, WSCG'2005. 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005. Proceedings, p. 155-162, Západočeská univerzita (Plzeň, 2005) Download [2005]
  118. Haindl Michal, Hatka M.: A roller - fast sampling-based texture synthesis algorithm, International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision. WSCG 2005. Proceedings, p. 80-83, University of West Bohemia (Plzen, 2005) [2005]
  119. ERCIM News (č. 60-63) (2005) [2005]
  120. Grim Jiří, Somol Petr, Haindl Michal, Pudil Pavel: A statistical approach to local evalution of a single texture image, Proceedings of the Sixtheenth Annual Symposium of the Pattern Recognition Association of South Africa, p. 171-176 [2005]
  121. Somol Petr, Haindl Michal: Texture Tiling and Patching with a Novel Path Search Algorithm for Quick and Realistic Texture Synthesis, ÚTIA AV ČR (Praha, 2004) [2004]
  122. Haindl Michal, Filip Jiří, Somol Petr, Havlíček Vojtěch: RealReflect Library - Reference Manual, ÚTIA AV ČR (Praha, 2004) [2004]
  123. Haindl Michal, Filip Jiří, Somol Petr: Advances in BTF Modelling, ÚTIA AV ČR (Praha, 2004) [2004]
  124. Meseth J., Müller G., Klein R., Haindl Michal, Filip Jiří, Somol Petr, Žid Pavel: Specification and Prototype Description of Texture Mapping and Synthesis, ÚTIA AV ČR (Praha, 2004) [2004]
  125. Haindl Michal, Šimberová Stanislava: Probabilistic model-based restoration of short-exposure astronomical images, Signal and Image Processing. Proceedings, p. 619-624 [2004]
  126. Haindl Michal, Filip Jiří: A fast probabilistic Bidirectional Texture Function model, Image Analysis and Recognition, p. 298-305 [2004]
  127. Haindl Michal, Mikeš Stanislav: Model-based texture segmentation, Image Analysis and Recognition. Proceedings, p. 306-313 [2004]
  128. Haindl Michal, Filip Jiří, Arnold M.: BTF image space utmost compression and modelling method, Proceedings of the 17th IAPR International Conference on Pattern Recognition, p. 194-197 [2004]
  129. Filip Jiří, Haindl Michal: Non-linear reflectance model for Bidirectional Texture Function synthesis, Proceedings of the 17th IAPR International Conference on Pattern Recognition, p. 80-83 [2004]
  130. Haindl Michal, Grim Jiří, Somol Petr, Pudil Pavel, Kudo M.: A Gaussian mixture-based colour texture model, Proceedings of the 17th IAPR International Conference on Pattern Recognition, p. 177-180 [2004]
  131. ERCIM News (č. 56-59) (2004) [2004]
  132. Mikeš Stanislav, Haindl Michal: Multispectral texture segmentation, WDS '03 Proceedings of Contributed Papers, p. 221-225, MFF UK (Praha, 2003) [2003]
  133. Haindl Michal, Filip Jiří, Somol Petr, Meseth J.: BTF Parametric Database, ÚTIA AV ČR (Praha, 2003) [2003]
  134. Haindl Michal, Filip Jiří: Fast BTF texture modelling, Texture 2003. Proceedings, p. 47-52, IEEE Press (Edinburgh, 2003) [2003]
  135. Haindl Michal, Klein R., Filip Jiří, Somol Petr, Meseth J.: Specification and Prototype Description of BTF Database and Model, ÚTIA AV ČR (Praha, 2003) [2003]
  136. ERCIM News (č. 52-55) (2003) [2003]
  137. Haindl Michal, Filip Jiří, Somol Petr: Specification and Prototype Description of Texture Model, ÚTIA AV ČR (Praha, 2002) [2002]
  138. Haindl Michal, Filip Jiří: Fast restoration of colour movie scratches, Proceedings of the 16th International Conference on Pattern Recognition, p. 269-272, Eds: Kasturi R., Laurendeau D., Suen C., IEEE Computer Society (Los Alamitos, 2002) [2002]
  139. Haindl Michal, Havlíček Vojtěch: A multiscale colour texture model, Proceedings of the 16th International Conference on Pattern Recognition, p. 255-258, Eds: Kasturi R., Laurendeau D., Suen C., IEEE Computer Society (Los Alamitos, 2002) [2002]
  140. Haindl Michal: Recursive model-based colour image restoration, Structural, Syntactic, and Statistical Pattern Recognition. Proceedings, p. 617-626, Eds: Caelli T., Amin A., Duin R. P. W., Springer (Berlin, 2002) [2002]
  141. Haindl Michal, Lauschmann H.: Model-based fatigue fractographs texture analysis, Structural, Syntactic, and Statistical Pattern Recognition. Proceedings, p. 842-849, Eds: Caelli T., Amin A., Duin R. P. W., Springer (Berlin, 2002) [2002]
  142. Grim Jiří, Haindl Michal: A discrete mixtures colour texture model, Texture 2002. The 2nd International Workshop on Texture Analysis and Synthesis, p. 59-62, HeriotWatt University (Glasgow, 2002) [2002]
  143. Haindl Michal, Havlíček Vojtěch: A simple multispectral multiresolution Markov texture model, Texture 2002. The 2nd International Workshop on Texture Analysis and Synthesis, p. 63-66, HeriotWatt University (Glasgow, 2002) [2002]
  144. ERCIM News (č. 48-51) (2002) [2002]
  145. Haindl Michal: Markovian Image Models. Habilitation Thesis (2001) [2001]
  146. Haindl Michal, Filip J.: A Fast Model-Based Restoration of Colour Movie Scratches, ÚTIA AV ČR (Praha, 2001) [2001]
  147. Grim Jiří, Haindl Michal: A Monospectral Probabilistic Discrete Mixture Texture Model, ÚTIA AV ČR (Praha, 2001) [2001]
  148. Grim Jiří, Haindl Michal: A mixture-based colour texture model. Abstract, Recent Developments in Mixture Modelling. Abstracts, p. 58, Eds: Bohning D., Seidel W., Universität der Bundeswehr (Hamburg, 2001) [2001]
  149. Haindl Michal: Recursive Square-Root Filters, ÚTIA AV ČR (Praha, 2000) [2000]
  150. Haindl Michal: Recursive model-based image restoration, Proceedings of the 15th IAPR International Conference on Pattern Recognition, p. 346-349, Eds: Sanfeliu A., Villanueva J. J., Vanrell M., T. Huang, IEEE Computer Society (Los Alamitos, 2000) [2000]
  151. Haindl Michal: Recursive square-root filters, Proceedings of the 15th IAPR International Conference on Pattern Recognition, p. 1018-1021, Eds: Sanfeliu A., Villanueva J. J., Vanrell M., IEEE Computer Society (Los Alamitos, 2000) [2000]
  152. Haindl Michal, Havlíček Vojtěch, Žid Pavel: Automatic acquisition of planar-faced virtual models, Proceedings of the 15th IAPR International Conference on Pattern Recognition, p. 987-990, Eds: Sanfeliu A., Villanueva J. J., Vanrell M., J.O. Eklundh, IEEE Computer Society (Los Alamitos, 2000) [2000]
  153. Haindl Michal, Havlíček Vojtěch: A multiresolution causal colour texture model, Advances in Pattern Recognition. Proceedings, p. 114-122, Eds: Ferri F. J., Inesta J. M., Amin A., Pudil P., Springer (Berlin, 2000) [2000]
  154. Haindl Michal: Texture modelling, Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics, p. 634-639, Eds: Sanchez B., Pineda J. M., Wolfmann J., Bellahsene Z., Ferri F., International Institute of Informatics and Systemics (Orlando, 2000) [2000]
  155. Haindl Michal, Kment Š., Slavík P.: Virtual information systems, Proceedings of the 8th International Conference in Central Europe on Computer Graphics, Visualization and Interactive Digital Media '2000, p. 22-27, University of West Bohemia (Plzeň, 2000) [2000]
  156. Haindl Michal: Edge preserving model-based image restoration, Proceedings of the Czech Pattern Recognition Workshop 2000, p. 49-54, Czech Pattern Recognition Society (Praha, 2000) [2000]
  157. Haindl Michal: Markovian Image Models. DrSc. Dissertation (1999) [1999]
  158. Haindl Michal: Image Restoration, ÚTIA AV ČR (Praha, 1999) [1999]
  159. Haindl Michal, Žid Pavel: Scene Segmentation III, ÚTIA AV ČR (Praha, 1999) [1999]
  160. Haindl Michal, Havlíček Vojtěch: Texture Synthesis II, ÚTIA AV ČR (Praha, 1999) [1999]
  161. Haindl Michal, Havlíček Vojtěch: Texture Mapping II, ÚTIA AV ČR (Praha, 1999) [1999]
  162. Haindl Michal, Havlíček Vojtěch, Žid Pavel: Shape and Texture Data Fusion II, ÚTIA AV ČR (Praha, 1999) [1999]
  163. Haindl Michal: Texture segmentation using recursive Markov random field parameter estimation, Proceedings of the 11th Scandinavian Conference on Image Analysis, p. 771-776, Eds: Bjarne K. E., Peter J., Pattern Recognition Society of Denmark (Lyngby, 1999) [1999]
  164. Haindl Michal: Texture Mapping, ÚTIA AV ČR (Praha, 1998) [1998]
  165. Haindl Michal, Žid Pavel: Scene Segmentation II, ÚTIA AV ČR (Praha, 1998) [1998]
  166. Haindl Michal: Shape and Texture Data Fusion, ÚTIA AV ČR (Praha, 1998) [1998]
  167. Haindl Michal, Havlíček Vojtěch: Texture Synthesis, ÚTIA AV ČR (Praha, 1998) [1998]
  168. Haindl Michal, Havlíček Vojtěch: Colour texture modelling, Week of Doctoral Students 1998. Proceedings, p. 128-135, Matfyzpress (Praha, 1998) [1998]
  169. Haindl Michal, Žid Pavel: Range image segmentation by curve grouping, Proceedings of the 7th International Workshop on Robotics in Alpe-Adria-Danube Region, p. 339-344, ASCO Art (Bratislava, 1998) [1998]
  170. Haindl Michal, Havlíček Vojtěch: Multiresolution colour texture synthesis, Proceedings of the 7th International Workshop on Robotics in Alpe-Adria-Danube Region, p. 297-302, ASCO Art (Bratislava, 1998) [1998]
  171. Haindl Michal: Unsupervised texture segmentation, Advances in Pattern Recognition. Proceedings, p. 1021-1028, Eds: Amin A., Dori D., Pudil P., Freeman H., Springer (Berlin, 1998) [1998]
  172. Haindl Michal, Žid Pavel: Fast segmentation of plannar surfaces in range images, Proceedings of the 14th International Conference on Pattern Recognition, p. 985-987, Eds: Jain A. K., Venkatesh S., Lovell B. C., IEEE (Los Alamitos, 1998) [1998]
  173. Haindl Michal, Žid Pavel: Scene Segmentation, ÚTIA AV ČR (Praha, 1997) [1997]
  174. Haindl Michal, Havlíček Vojtěch: Prototype Implementation of the Texture Analysis Objects, ÚTIA AV ČR (Praha, 1997) [1997]
  175. Haindl Michal, Havlíček Vojtěch: Texture Analysis, ÚTIA AV ČR (Praha, 1997) [1997]
  176. Haindl Michal, Žid Pavel: A range image segmentation method, Week of Doctoral Students 1997. Proceedings, p. 115-121, MFF UK (Praha, 1997) [1997]
  177. Kittler J., Stoddart A. J., Santos-Victor J., Costeira J. P., Haindl Michal, Dobrovodský K., Andris P., Kurdel P.: Virtuous: Autonomous acquisition of virtual reality models from real world scenes, International Workshop on Robotics in Alpe-Adria-Danube Region, p. 487-492, Studio 22 Edizion (Cassino, 1997) [1997]
  178. Haindl Michal, Žid Pavel: Fast segmentation of range images, Images Analysis and Processing, p. 295-302, Springer (Berlin, 1997) [1997]
  179. Haindl Michal, Šimberová Stanislava: A scratch removal method, Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, p. 61-66, Eds: Pudil P., Novovičová J., Grim J., ÚTIA AV ČR (Praha, 1997) [1997]
  180. Haindl Michal, Žid Pavel: A range image segmentation method, Czech Pattern Recognition Workshop '97. Proceedings, p. 69-76, Czech Pattern Recognition Society (Praha, 1997) [1997]
  181. Haindl Michal, Šimberová Stanislava: A regression model contribution to astronomical image reconstruction, Data analysis in astronomy, p. 303-309, Eds: DiGesu V., Duff M., Heck A., Maccarone M.C., Scarsi L., - Zimmerman H.V. [1997]
  182. Haindl Michal, Šimberová Stanislava: Adaptive reconstruction method of multispectral images, International Archives of Photogrammetry and Remote Sensing, p. 809-814, ISPRS (Vienna, 1996) [1996]
  183. Haindl Michal, Saic Stanislav: Automatická analýza kožních útvarů, ÚTIA AV ČR (Praha, 1996) [1996]
  184. Haindl Michal, Šimberová Stanislava: A multi-model image line reconstruction, Computer Analysis of Image and Patterns, p. 735-740, Eds: Hlaváč V., Šára R., Springer (Berlin, 1995) [1995]
  185. Haindl Michal: Multimedia Synchronization, CWI (Amsterdam, 1995) [1995]
  186. Haindl Michal, de Ruiter M. M.: The MADE Help System, CWI (Amsterdam, 1995) [1995]
  187. Haindl Michal: An Adaptive Image Reconstruction Method, CWI (Amsterdam, 1994) [1994]
  188. Haindl Michal, Allen C. R.: Paralelní programování transputeru, Digitální zpracování obrazu '90, p. 98-103, ČSVTS Tesla VÚST (Praha, 1990) [1990]
  189. Haindl Michal: MIA - release 1990, ÚTIA ČSAV (Praha, 1990) [1990]
  190. Haindl Michal: Transputer parallel programs description, University of Newcastle upon Tyne (Newcastle upon Tyne, 1990) [1990]
  191. Haindl Michal: Contextual Bayesian Classifier, Proceedings of ISPRS Symposium Global and Environmental Monitoring Techniques and Impacts, p. -, ISPRS (Victoria, 1990) [1990]
  192. Haindl Michal: Linearised Bayesian Classifier, International Symposium ISPRS Progress in Data Analysis, p. -, University of Wuhan (Wuhan, 1990) [1990]
  193. Haindl Michal, Šimberová Stanislava: A Regression Type Image Destriping Method, Biosignál '90, p. 74-75, Dům techniky ČSVTS (Brno, 1990) [1990]
  194. Haindl Michal: Contextual Classification, Aplikace umělé inteligence AI'90, p. 241-248, Ústav pro informační systémy v kultuře (Praha, 1990) [1990]
  195. Haindl Michal: Dimensionalitätreduktion der multispektralen kosmischen Bilddaten, 5. Konferenz - Fernerkundung - Stand und Entwicklungstendenzen -, p. 85-96, Eds: Höpfner J., John K.-H., Zentralinstitut fur Physik der Erde Akademie der Wissenschaften (Potsdam, 1989) [1989]
  196. Haindl Michal: Kosmická data typu SPOT, ÚTIA ČSAV (Praha, 1989) [1989]
  197. Haindl Michal: Linearizovaný bayesovský klasifikátor, Digitální zpracování obrazu '89, p. 87-91, ČSVTS TESLA VÚST (Praha, 1989) [1989]
  198. Haindl Michal: Linear Transformed Space Equivalence for the Bayesian Classifier Family, ÚTIA ČSAV (Praha, 1989) [1989]
  199. Haindl Michal: Bayesian classifier equivalence in the linear transformed feature spaces, Proceedings International Fair Conference CAIP'89, p. 36-38, Eds: Voss K., Chetverikov D., Sommer G., Kammer der Technik (Leipzig, 1989) [1989]
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