Search results
- 1.0569632 - ÚTIA 2024 RIV PT eng C - Conference Paper (international conference)
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. Lisbon: SciTePress, 2023 - (Sousa, A.; Bashford-Rogers, T.; Bouatouch, K.), s. 162-169. ISBN 978-989-758-634-7. ISSN 2184-4321.
[International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP 2023 /18./. Lisbon (PT), 19.02.2023-21.02.2023]
R&D Projects: GA ČR(CZ) 19-12340S; GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Anisotropic BRDF models * neural network * activation function * BTF
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2023/RO/mikes-0569632.pdf
Permanent Link: https://hdl.handle.net/11104/0341255
- 2.0565332 - ÚTIA 2023 RIV CH eng C - Conference Paper (international conference)
Haindl, Michal - Havlíček, Vojtěch
BRDF Anisotropy Criterion.
Intelligent Information and Database Systems. Cham: Springer Nature, 2022 - (Nguyen, N.; Tran, T.; Tukayev, U.; Hong, T.; Trawinski, B.; Szczerbicki, E.), s. 434-444. Lecture Notes in Artificial Intelligence, 13758. ISBN 978-3-031-21966-5. ISSN 0302-9743. E-ISSN 1611-3349.
[Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022) /14./. Ho Chi Minh City (VN), 28.11.2022-30.11.2022]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : BRDF modeling * anisotropy criterion * hyperspectral BRDF
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2022/RO/haindl-0565332.pdf
Permanent Link: https://hdl.handle.net/11104/0337888
- 3.0561404 - ÚTIA 2023 RIV CH eng C - Conference Paper (international conference)
Vácha, Pavel - Haindl, Michal
Textural Features Sensitivity to Scale and Illumination Variations.
Advances in Computational Collective Intelligence : 14th International Conference, ICCCI 2022. Cham: Springer International Publishing, 2022 - (Badica, C.), s. 237-249. Communications in Computer and Information Science, 1653. ISBN 978-3-031-16209-1. ISSN 1865-0929. E-ISSN 1865-0937.
[International Conference on Computational Collective Intelligence (ICCCI 2022) /14./. Hammamet (TN), 26.09.2022-30.09.2022]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Markovian Textural Features * Scale Sensitivity * Illumination Sensitivity
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2022/RO/vacha-0561404.pdf
Permanent Link: https://hdl.handle.net/11104/0334061
- 4.0552810 - ÚTIA 2022 RIV PT eng C - Conference Paper (international conference)
Haindl, Michal - Žid, Pavel
Melanoma Recognition.
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Setúbal: Scitepress - Science and Technology Publications, Lda, 2022 - (Farinella, G.; Radeva, P.; Bouatouch, K.), s. 722-729, č. článku 268. ISBN 978-989-758-555-5. ISSN 2184-4321.
[International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) /17./. Setúbal - online (PT), 06.02.2022-08.02.2022]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Skin Cancer Recognition * Melanoma Detection * Circular Markov Random Field Model
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2022/RO/haindl-0552810.pdf
Permanent Link: http://hdl.handle.net/11104/0327904
- 5.0546216 - ÚTIA 2022 RIV CH eng C - Conference Paper (international conference)
Havlíček, Michal - Haindl, Michal
Optimized Texture Spectral Similarity Criteria.
Advances in Computational Collective Intelligence. Cham: Springer International Publishing, 2021 - (Wojtkiewicz, K.; Treur, J.; Pimenidis, E.; Maleszka, M.), s. 644-655, č. článku 52. Communications in Computer and Information Science, 1463. ISBN 978-3-030-88113-9. ISSN 1865-0929.
[International Conference on Computational Collective Intelligence 2021 /13./. Kallithea, Rhodes (GR), 29.09.2021-01.10.2021]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Texture spectral similarity criterion * Bidirectional Texture Function * hyperspectral data * texture modeling
OECD category: Communication engineering and systems
http://library.utia.cas.cz/separaty/2021/RO/haindl-0546216.pdf
Permanent Link: http://hdl.handle.net/11104/0323757
- 6.0546213 - ÚTIA 2022 RIV CH eng C - Conference Paper (international conference)
Moudrá, A. - Haindl, Michal
Underground Archeological Structures Detection.
Advances in Computational Collective Intelligence. Cham: Springer International Publishing, 2021 - (Wojtkiewicz, K.; Treur, J.; Pimenidis, E.; Maleszka, M.), s. 690-702, č. článku 56. Communications in Computer and Information Science, 1463. ISBN 978-3-030-88113-9. ISSN 1865-0929.
[International Conference on Computational Collective Intelligence 2021 /13./. Kallithea, Rhodes (GR), 29.09.2021-01.10.2021]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Remote sensing archeology * underground heritage site recognition * aerial image-based automated site detection
OECD category: Communication engineering and systems
http://library.utia.cas.cz/separaty/2021/RO/haindl-0546213.pdf
Permanent Link: http://hdl.handle.net/11104/0323756
- 7.0535433 - 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. E-ISSN 1611-3349.
[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
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2020/RO/haindl-0535433.pdf
Permanent Link: http://hdl.handle.net/11104/0314144
- 8.0522438 - 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. E-ISSN 1611-3349.
[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
OECD category: Applied mathematics
http://library.utia.cas.cz/separaty/2020/RO/haindl-0522438.pdf
Permanent Link: http://hdl.handle.net/11104/0307296
- 9.0520496 - 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
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2020/RO/haindl-0520496.pdf
Permanent Link: http://hdl.handle.net/11104/0305414
- 10.0510488 - 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. E-ISSN 1611-3349.
[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
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2019/RO/haindl-0510488.pdf
Permanent Link: http://hdl.handle.net/11104/0302678