Search results

  1. 1.
    0535433 - ÚTIA 2021 RIV CH eng C - Conference Paper (international conference)
    Haindl, Michal - Havlíček, Vojtěch
    Transfer Learning of Mixture Texture Models.
    Computational Collective Intelligence. Cham: Springer Nature Switzerland AG, 2020 - (Nguyen, N.; Hoang, B.; Huynh, C.; Hwang, D.; Trawinski, B.; Vossen, G.), s. 825-837. Lecture Notes in Artificial Intelligence, 12496. ISBN 978-3-030-63006-5. ISSN 0302-9743.
    [International Conference on Computational Collective Intelligence 2020 /12./. Da Nang (VN), 30.11.2020-03.12.2020]
    R&D Projects: GA ČR(CZ) GA19-12340S
    Institutional support: RVO:67985556
    Keywords : Texture modeling * transfer learning * compound random field model * bidirectional texture function
    Subject RIV: BD - Theory of Information
    OBOR OECD: Automation and control systems
    http://library.utia.cas.cz/separaty/2020/RO/haindl-0535433.pdf
    Permanent Link: http://hdl.handle.net/11104/0314144
     
  2. 2.
    0522438 - ÚTIA 2021 RIV CH eng C - Conference Paper (international conference)
    Haindl, Michal - Havlíček, Vojtěch
    3D Multi-frequency Fully Correlated Causal Random Field Texture Model.
    Pattern Recognition. Cham: Springer International Publishing, 2020 - (Palaiahnakote, S.; Sanniti di Baja, G.; Wang, L.; Yan, W.), s. 423-434, č. článku 33. Lecture Notes in Computer Science, 12047. ISBN 978-3-030-41298-2. ISSN 0302-9743.
    [The 5th Asian Conference on Pattern Recognition (ACPR 2019). Auckland (NZ), 26.11.2019-29.11.2019]
    R&D Projects: GA ČR(CZ) GA19-12340S
    Institutional support: RVO:67985556
    Keywords : texture modeling * Markov random field * Bidirectional Texture Function
    Subject RIV: BD - Theory of Information
    OBOR OECD: Applied mathematics
    http://library.utia.cas.cz/separaty/2020/RO/haindl-0522438.pdf
    Permanent Link: http://hdl.handle.net/11104/0307296
     
  3. 3.
    0520496 - ÚTIA 2020 RIV US eng C - Conference Paper (international conference)
    Haindl, Michal - Žid, Pavel
    Coniferous Trees Needles-Based Taxonomy Classification.
    International Conference on Image and Vision Computing New Zealand 2019 (IVCNZ 2019). Piscataway: IEEE, 2019, s. 1-6. ISBN 978-1-7281-4188-6. ISSN 2151-2191.
    [Image and Vision Computing New Zealand (IVCNZ 2019) /34./. Dunedin (NZ), 02.12.2019-04.12.2019]
    R&D Projects: GA ČR(CZ) GA19-12340S
    Institutional support: RVO:67985556
    Keywords : Coniferous needles categorization * Tree taxonomy recognition * Spiral Markov random field model
    Subject RIV: BD - Theory of Information
    OBOR OECD: Automation and control systems
    http://library.utia.cas.cz/separaty/2020/RO/haindl-0520496.pdf
    Permanent Link: http://hdl.handle.net/11104/0305414
     
  4. 4.
    0510488 - ÚTIA 2020 RIV CH eng C - Conference Paper (international conference)
    Mikeš, Stanislav - Haindl, Michal
    View Dependent Surface Material Recognition.
    Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019). Cham: Springer, 2019 - (Bebis, G.; Boyle, R.; Parvin, B.; Koracin, D.), s. 156-167, č. článku 12. Lecture Notes in Computer Science, 11844. ISBN 978-3-030-33719-3. ISSN 0302-9743.
    [International Symposium on Visual Computing (ISVC 2019) /14./. Lake Tahoe (US), 07.10.2019-09.10.2019]
    R&D Projects: GA ČR(CZ) GA19-12340S
    Institutional support: RVO:67985556
    Keywords : convolutional neural network * texture recognition * Bidirectional Texture Function recognition
    Subject RIV: BD - Theory of Information
    OBOR OECD: Automation and control systems
    http://library.utia.cas.cz/separaty/2019/RO/haindl-0510488.pdf
    Permanent Link: http://hdl.handle.net/11104/0302678
     
  5. 5.
    0510483 - ÚTIA 2020 RIV CH eng C - Conference Paper (international conference)
    Haindl, Michal - Havlíček, Michal
    Mutual Information-Based Texture Spectral Similarity Criterion.
    Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019). Cham: Springer, 2019 - (Bebis, G.; Boyle, R.; Parvin, B.; Koracin, D.), s. 302-314, č. článku 23. Lecture Notes in Computer Science, 11844. ISBN 978-3-030-33719-3. ISSN 0302-9743.
    [International Symposium on Visual Computing (ISVC 2019) /14./. Lake Tahoe (US), 07.10.2019-09.10.2019]
    R&D Projects: GA ČR(CZ) GA19-12340S
    Institutional support: RVO:67985556
    Keywords : spectral similarity criterion * Bidirectional Texture Functions * texture * mutual information
    Subject RIV: BD - Theory of Information
    OBOR OECD: Automation and control systems
    http://library.utia.cas.cz/separaty/2019/RO/haindl-0510483.pdf
    Permanent Link: http://hdl.handle.net/11104/0302679
     
  6. 6.
    0497358 - ÚTIA 2019 RIV US eng C - Conference Paper (international conference)
    Kudělka, Miloš - Haindl, Michal
    Multispectral Texture Fidelity Measure.
    SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems. Los Alamitos: IEEE Computer Society CPS, 2018 - (Sanniti di Baja, G.; Gallo, L.; Yetongnon, K.; Dipanda, A.; Castrillón-Santana, M.; Chbeir, R.), s. 658-663, č. článku 106. ISBN 978-1-5386-9385-8.
    [SITIS 2018. International Conference on Signal Image Technology & Internet Based Systems /14./. Las Palmas de Gran Canaria (ES), 26.11.2018-29.11.2018]
    Grant - others:GA UK(CZ) SVV-260452/2017
    Institutional support: RVO:67985556
    Keywords : image texture * multispectral texture fidelity * visual quality measure * Markovian texture model
    Subject RIV: BD - Theory of Information
    OBOR OECD: Communication engineering and systems
    http://library.utia.cas.cz/separaty/2018/RO/kudelka-0497358.pdf
    Permanent Link: http://hdl.handle.net/11104/0290642
     
  7. 7.
    0497357 - ÚTIA 2019 RIV US eng C - Conference Paper (international conference)
    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. Los Alamitos: IEEE Computer Society CPS, 2018 - (Sanniti di Baja, G.; Gallo, L.; Yetongnon, K.; Dipanda, A.; Castrillón-Santana, M.; Chbeir, R.), s. 98-105, č. článku 25. ISBN 978-1-5386-9385-8.
    [SITIS 2018. International Conference on Signal Image Technology & Internet Based Systems /14./. Las Palmas de Gran Canaria (ES), 26.11.2018-29.11.2018]
    Institutional support: RVO:67985556
    Keywords : BTF texture model * compound Markov random field * BTF texture synthesis
    Subject RIV: BD - Theory of Information
    OBOR OECD: Communication engineering and systems
    http://library.utia.cas.cz/separaty/2018/RO/haindl-0497357.pdf
    Permanent Link: http://hdl.handle.net/11104/0290643
     
  8. 8.
    0492503 - ÚTIA 2019 RIV US eng C - Conference Paper (international conference)
    Richtr, Radek - Haindl, Michal
    Dynamic Texture Similarity Criterion.
    The 24th International Conference on Pattern Recognition (ICPR 2018). New York: IEEE, 2018, s. 904-909. ISBN 978-1-5386-3787-6.
    [The 24th International Conference on Pattern Recognition (ICPR 2018). Beijing (CN), 20.08.2018-24.08.2018]
    Institutional support: RVO:67985556
    Keywords : Dynamic texture * Similarity criterion
    Subject RIV: BD - Theory of Information
    OBOR OECD: Automation and control systems
    http://library.utia.cas.cz/separaty/2018/RO/haindl-0492503.pdf
    Permanent Link: http://hdl.handle.net/11104/0286555
     
  9. 9.
    0492500 - ÚTIA 2019 RIV US eng C - Conference Paper (international conference)
    Haindl, Michal - Havlíček, Vojtěch
    BTF Compound Texture Model with Non-Parametric Control Field.
    The 24th International Conference on Pattern Recognition (ICPR 2018). New York: IEEE, 2018, s. 1151-1156. ISBN 978-1-5386-3787-6.
    [The 24th International Conference on Pattern Recognition (ICPR 2018). Beijing (CN), 20.08.2018-24.08.2018]
    Institutional support: RVO:67985556
    Keywords : Compound Markov random field model * Bidirectional texture function * Texture modeling
    Subject RIV: BD - Theory of Information
    OBOR OECD: Automation and control systems
    http://library.utia.cas.cz/separaty/2018/RO/haindl-0492500.pdf
    Permanent Link: http://hdl.handle.net/11104/0286556
     
  10. 10.
    0492498 - ÚTIA 2019 RIV CH eng C - Conference Paper (international conference)
    Remeš, Václav - Haindl, Michal
    Rotationally Invariant Bark Recognition.
    Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018. Cham: Springer Nature Switzerland AG, 2018 - (Bai, X.; Hancock, E.; Ho, T.; Wilson, R.; Biggio, B.; Robles-Kelly, A.), s. 22-31, č. článku 3. Lecture Notes in Computer Science, 11004. ISBN 978-3-319-97784-3. ISSN 0302-9743.
    [IAPR Joint International Workshop on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition. Beijing (CN), 17.08.2018-19.08.2018]
    Institutional support: RVO:67985556
    Keywords : Bark recognition * Tree taxonomy clasification * Spiral Markov random field model
    Subject RIV: BD - Theory of Information
    OBOR OECD: Automation and control systems
    http://library.utia.cas.cz/separaty/2018/RO/haindl-0492498.pdf
    Permanent Link: http://hdl.handle.net/11104/0286554