Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Tomáš Suk"'
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5258 (2024)
The presented paper focuses on testing the performance of a SLAM scanner Zeb Horizon by GeoSLAM for the creation of a digital model of a bridge construction. A cloud acquired using a static scanner Leica ScanStation P40 served as a reference. Clouds
Externí odkaz:
https://doaj.org/article/c8c3976e31424af387110094664bcd81
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3254 (2023)
Filtering out vegetation from a point cloud based on color is only rarely used, largely due to the lack of knowledge of the suitability of input information (color, vegetation indices) and the thresholding methods. We have evaluated multiple vegetati
Externí odkaz:
https://doaj.org/article/afcbd38160fc4ea69a1024c3aebb252c
Autor:
Tomáš Suk, Martin Štroner
Publikováno v:
Acta Polytechnica, Vol 61, Iss 3, Pp 476-488 (2021)
This paper presents the results of over a year-long experiment dealing with a temperature measurement to calculate the theoretical effect of the atmosphere on the measured zenith angle in engineering surveying. The measurements were performed to dete
Externí odkaz:
https://doaj.org/article/128bd88c83f040178be829af8bf1ee7a
Autor:
Tomáš Suk, Jan Flusser
Publikováno v:
Symmetry, Vol 6, Iss 3, Pp 722-757 (2014)
The paper deals with the recognition of symmetric three-dimensional (3D) bodies that can be rotated and translated. We provide a complete list of all existing combinations of rotation and reflection symmetries in 3D. We define 3D complex moments by m
Externí odkaz:
https://doaj.org/article/9368a5e967cf4b7db2acccdaed483570
Publikováno v:
Image Analysis ISBN: 9783031314346
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8d68a3f6c8915b7d6afd539892e46f0
https://doi.org/10.1007/978-3-031-31435-3_20
https://doi.org/10.1007/978-3-031-31435-3_20
Publikováno v:
Journal of Mathematical Imaging and Vision. 63:917-922
The paper shows that the moment invariants proposed recently in this journal by Hjouji et al. (J Math Imaging Vis 62:606–624, 2020) are incomplete, which leads to a limited discriminability. We prove this by means of circular projection of the imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::251dc2a616aa99735024765ac147b3a4
https://doi.org/10.1007/s10851-021-01039-x
https://doi.org/10.1007/s10851-021-01039-x
Publikováno v:
Pattern Recognition. 127:108607
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::809137bcba722a9b01ba4463052ad97b
https://doi.org/10.1016/j.patcog.2022.108607
https://doi.org/10.1016/j.patcog.2022.108607
Publikováno v:
Pattern Recognition. 74:110-121
Vector field images are a type of new multidimensional data that appear in many engineering areas. Although the vector fields can be visualized as images, they differ from graylevel and color images in several aspects. To analyze them, special method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a66d8fd7aa0d0c0ecbddc7ab608d7c0
https://doi.org/10.1016/j.patcog.2017.09.004
https://doi.org/10.1016/j.patcog.2017.09.004
Publikováno v:
Signal Processing. 143:282-291
The topic of the paper is recognition of objects and patterns in color images regardless of their position, orientation, and scale. Gaussian–Hermite moment invariants designed especially for color images are introduced in this paper. We extend the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::040eba79d5d689dafca8bb29f24fde42
https://doi.org/10.1016/j.sigpro.2017.08.027
https://doi.org/10.1016/j.sigpro.2017.08.027
Autor:
Tomáš Suk, Stanislava Šimberová
Publikováno v:
Earth, Moon, and Planets. 120:189-215
We have developed a set of methods to detect meteor light traces captured by all-sky CCD cameras. Operating at small automatic observatories (stations), these cameras create a network spread over a large territory. Image data coming from these statio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e511340c8dd9917e46c05692cbb5e1c
https://doi.org/10.1007/s11038-017-9511-z
https://doi.org/10.1007/s11038-017-9511-z