Search results
- 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 - 2.0471593 - 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 - 3.0471592 - 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