Search results

  1. 1.
    0471594 - ÚTIA 2018 RIV DE eng C - Conference Paper (international conference)
    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. Cham: Springer International Publishing, 2017 - (Beltran-Castanon, C.; Nystrom, I.; Famili, F.), s. 52-59. Lecture Notes in Computer Science, 10125. ISBN 978-3-319-52276-0.
    [CIARP 2016 - 21st Iberoamerican Congress 2016. Lima (PE), 08.11.2016-11.11.2016]
    R&D Projects: GA ČR(CZ) GA14-10911S
    Institutional support: RVO:67985556
    Keywords : Tortoise recognition * Testudo graeca
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    http://library.utia.cas.cz/separaty/2017/RO/sedlacek-0471594.pdf
    Permanent Link: http://hdl.handle.net/11104/0271348
     
     
  2. 2.
    0471593 - ÚTIA 2018 RIV DE eng C - Conference Paper (international conference)
    Haindl, Michal - Vácha, Pavel
    Scale Sensitivity of Textural Features.
    Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016. Cham: Springer International Publishing, 2017 - (Beltran-Castanon, C.; Nystrom, I.; Famili, F.), s. 84-92. Lecture Notes in Computer Science, 10125. ISBN 978-3-319-52276-0.
    [CIARP 2016 - 21st Iberoamerican Congress 2016. Lima (PE), 08.11.2016-11.11.2016]
    R&D Projects: GA ČR(CZ) GA14-10911S
    Institutional support: RVO:67985556
    Keywords : Textural features * texture scale recognition sensitivity * surface material recognition * Markovian illumination invariant features
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    http://library.utia.cas.cz/separaty/2017/RO/haindl-0471593.pdf
    Permanent Link: http://hdl.handle.net/11104/0271350
     
     
  3. 3.
    0471592 - ÚTIA 2018 RIV DE eng C - Conference Paper (international conference)
    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. Cham: Springer International Publishing, 2017 - (Beltran-Castanon, C.; Nystrom, I.; Famili, F.), s. 44-51. Lecture Notes in Computer Science, 10125. ISBN 978-3-319-52276-0.
    [CIARP 2016 - 21st Iberoamerican Congress 2016. Lima (PE), 08.11.2016-11.11.2016]
    R&D Projects: GA ČR(CZ) GA14-10911S
    Institutional support: RVO:67985556
    Keywords : Texture * texture synthesis * compound random field model * CAR model * two-dimensional Bernoulli mixture * two-dimensional Gaussian mixture * bidirectional texture function
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    http://library.utia.cas.cz/separaty/2017/RO/haindl-0471592.pdf
    Permanent Link: http://hdl.handle.net/11104/0271351
     
     
  4. 4.
    0469425 - ÚTIA 2017 RIV US eng C - Conference Paper (international conference)
    Haindl, Michal - Sedláček, Matěj
    Virtual reconstruction of cultural heritage artifacts.
    2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). USA: IEEE, 2016, s. 1-5, č. článku 16. ISBN 978-1-5090-5525-8.
    [2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). Reggio Calabria (IT), 27.10.2016-28.10.2016]
    R&D Projects: GA ČR(CZ) GA14-10911S
    Institutional support: RVO:67985556
    Keywords : Cultural differences * Image reconstruction * Shape reconstruction * bidirectional texture function * surface modeling * Visualization * Lighting * virtual reality
    Subject RIV: BD - Theory of Information
    http://library.utia.cas.cz/separaty/2016/RO/haindl-0469425.pdf
    Permanent Link: http://hdl.handle.net/11104/0268913
     
     
  5. 5.
    0467541 - ÚTIA 2017 RIV US eng C - Conference Paper (international conference)
    Haindl, Michal - Havlíček, Vojtěch
    Three-dimensional Gaussian Mixture Texture Model.
    Proceedings of the 23rd International Conference on Pattern Recognition (ICPR). Piscataway: IEEE, 2016, s. 2026-2031, č. článku 1003. ISBN 978-1-5090-4846-5.
    [23rd International Conference on Pattern Recognition ICPR 2016. Cancún (MX), 04.12.2016-08.12.2016]
    R&D Projects: GA ČR(CZ) GA14-10911S
    Institutional support: RVO:67985556
    Keywords : bidirectional texture function * Gaussian mixture model * texture modeling
    Subject RIV: BD - Theory of Information
    http://library.utia.cas.cz/separaty/2016/RO/haindl-0467541.pdf
    Permanent Link: http://hdl.handle.net/11104/0266451
     
     
  6. 6.
    0464681 - ÚTIA 2017 RIV CZ eng C - Conference Paper (international conference)
    Grim, Jiří
    Feasibility Study of an Interactive Medical Diagnostic Wikipedia.
    SPMS 2016 Stochastic and Physical Monitoring Systems. Prague: Czech Technical University, 2016, s. 31-45. ISBN 978-80-01-06040-7.
    [SPMS 2016 Stochastic and Physical Monitoring Systems. Prague - Dobřichovice (CZ), 20.06.2016-24.06.2016]
    R&D Projects: GA ČR(CZ) GA14-02652S; GA ČR(CZ) GA14-10911S
    Institutional support: RVO:67985556
    Keywords : Multivariate statistics * Medical diagnostics * Product mixtures * Incomplete data * Sequential classification * EM algorithm
    Subject RIV: IN - Informatics, Computer Science
    http://library.utia.cas.cz/separaty/2016/RO/grim-0464681.pdf
    Permanent Link: http://hdl.handle.net/11104/0263972
     
     
  7. 7.
    0463638 - ÚTIA 2017 RIV US eng C - Conference Paper (international conference)
    Kudělka, Miloš - Haindl, Michal
    Texture fidelity criterion.
    Proceedings of the 2016 IEEE International Conference on Image Processing. Piscataway: IEEE, 2016. ISBN 978-1-4673-9961-6. E-ISSN 2381-8549.
    [2016 IEEE International Conference on Image Processing (ICIP). Phoenix, AZ (US), 25.09.2016-28.09.2016]
    R&D Projects: GA ČR(CZ) GA14-10911S
    Institutional support: RVO:67985556
    Keywords : Image texture * texture fidelity * visual quality criterion * Markovian texture model
    Subject RIV: BD - Theory of Information
    http://library.utia.cas.cz/separaty/2016/RO/haindl-0463638.pdf
    Permanent Link: http://hdl.handle.net/11104/0263673
     
     
  8. 8.
    0462884 - ÚTIA 2017 RIV CH eng C - Conference Paper (international conference)
    Haindl, Michal - Havlíček, Michal
    A Compound Moving Average Bidirectional Texture Function Model.
    Multimedia and Network Information Systems. Switzerland: Springer Internatiion Publishing, 2017 - (Zgrzynowa, A.; Choros, K.; Sieminski, A.), 89-98, s. 89-98. Advances in Intelligent Systems and Computing, 506. ISBN 978-3-319-43981-5. ISSN 2194-5357.
    [Multimedia and Network Information Systems MISSI 2016 /10./. Wroclaw (PL), 14.09.2016-16.09.2016]
    R&D Projects: GA ČR(CZ) GA14-10911S
    Institutional support: RVO:67985556
    Keywords : bidirectional texture function * texture synthesis * compound random field model
    OECD category: Applied mathematics
    http://library.utia.cas.cz/separaty/2016/RO/haindl-0462884.pdf
    Permanent Link: http://hdl.handle.net/11104/0262366
     
     
  9. 9.
    0462362 - ÚTIA 2017 RIV AT eng C - Conference Paper (international conference)
    Havlíček, Michal - Haindl, Michal
    Texture spectral similarity criteria.
    Proceedings of the 4th CIE Expert Symposium on Colour and Visual Appearance. Vienna: Commission Internationale de L'Eclairage CIE Central Bureau, 2016, 147-154, s. 147-154. ISBN 978-3-902842-59-6.
    [The 4th CIE Expert Symposium on Colour and Visual Appearance. Praha (CZ), 06.09.2016-07.09.2016]
    R&D Projects: GA ČR(CZ) GA14-10911S
    Institutional support: RVO:67985556
    Keywords : Spectral Criteria * Texture Quality * Bidirectional Texture Functions
    Subject RIV: BD - Theory of Information
    http://library.utia.cas.cz/separaty/2016/RO/haindl-0462362.pdf
    Permanent Link: http://hdl.handle.net/11104/0262338
     
     
  10. 10.
    0454449 - ÚTIA 2016 RIV US eng C - Conference Paper (international conference)
    Remeš, Václav - Haindl, Michal
    Classification of breast density in X-ray mammography.
    2015 International Workshop on Computational Intelligence for Multimedia Understanding. New York, NY,: IEEE, 2015, s. 1-5. ISBN 978-1-4673-8457-5.
    [IWCIM 2015 International Workshop on Computational Intelligence for Multimedia Understanding. Praha (CZ), 29.10.2015-30.10.2015]
    R&D Projects: GA ČR(CZ) GA14-10911S
    Institutional support: RVO:67985556
    Keywords : Breast cancer * breast density * Mammography * MRF * ACR * BI-RADS
    Subject RIV: BD - Theory of Information
    http://library.utia.cas.cz/separaty/2016/RO/haindl-0454449.pdf
    Permanent Link: http://hdl.handle.net/11104/0257087
     
     

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