| dc.contributor.author | Dandoš, Rostislav | |
| dc.contributor.author | Mozdřeň, Karel | |
| dc.contributor.author | Staňková, Hana | |
| dc.date.accessioned | 2018-01-25T06:55:05Z | |
| dc.date.available | 2018-01-25T06:55:05Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | Computer Standards & Interfaces. 2018, vol. 56, p. 41-48. | cs |
| dc.identifier.issn | 0920-5489 | |
| dc.identifier.issn | 1872-7018 | |
| dc.identifier.uri | http://hdl.handle.net/10084/123377 | |
| dc.description.abstract | Computer Vision takes part in many industrial applications mainly in robotics and measurement systems. Geodesy uses computer vision rather indirectly using specialized software tools for measurements of data captured with digital cameras or LIDAR systems. This paper describes new control mark and its advantages for deformation measurements, and surface reconstruction. Furthermore, we describe control mark detection method using computer vision algorithms, and its localization from single image. We also compare this method to spatial polar method. | cs |
| dc.language.iso | en | cs |
| dc.publisher | Elsevier | cs |
| dc.relation.ispartofseries | Computer Standards & Interfaces | cs |
| dc.relation.uri | https://doi.org/10.1016/j.csi.2017.09.003 | cs |
| dc.rights | © 2017 Elsevier B.V. All rights reserved. | cs |
| dc.subject | control mark | cs |
| dc.subject | camera | cs |
| dc.subject | computer vision | cs |
| dc.subject | detection | cs |
| dc.subject | measurement | cs |
| dc.title | A new control mark for photogrammetry and its localization from single image using computer vision | cs |
| dc.type | article | cs |
| dc.identifier.doi | 10.1016/j.csi.2017.09.003 | |
| dc.type.status | Peer-reviewed | cs |
| dc.description.source | Web of Science | cs |
| dc.description.volume | 56 | cs |
| dc.description.lastpage | 48 | cs |
| dc.description.firstpage | 41 | cs |
| dc.identifier.wos | 000419417400004 | |