Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Zuzana Kukelova"'
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8ff6acf3be2400ceee3bfd4c60a9445
https://doi.org/10.1109/cvpr52688.2022.01243
https://doi.org/10.1109/cvpr52688.2022.01243
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 42:1439-1452
We present minimal, non-iterative solutions to the absolute pose problem for images from rolling shutter cameras. The absolute pose problem is a key problem in computer vision and rolling shutter is present in a vast majority of today's digital camer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ffa93357ba836fbede69c18d3e2daaf
https://doi.org/10.1109/tpami.2019.2894395
https://doi.org/10.1109/tpami.2019.2894395
Publikováno v:
International Journal of Computer Vision. 128:950-968
This paper introduces the first minimal solvers that jointly estimate lens distortion and affine rectification from the image of rigidly-transformed coplanar features. The solvers work on scenes without straight lines and, in general, relax strong as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cb8aec32e512c12464da5d4f63ac9fa
https://doi.org/10.1007/s11263-019-01216-x
https://doi.org/10.1007/s11263-019-01216-x
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200465
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::752cc11876fad5a270298cd684c614d2
https://doi.org/10.1007/978-3-031-20047-2_34
https://doi.org/10.1007/978-3-031-20047-2_34
Autor:
Daniel Barath, Zuzana Kukelova
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198236
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11c6963f3b7a43847fe9c47798f4878c
https://doi.org/10.1007/978-3-031-19824-3_27
https://doi.org/10.1007/978-3-031-19824-3_27
Publikováno v:
2021 International Conference on 3D Vision (3DV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d64b84c28fbf173a898d9de789ce3ad
https://doi.org/10.1109/3dv53792.2021.00145
https://doi.org/10.1109/3dv53792.2021.00145
Publikováno v:
CVPR
Smartphones, tablets and camera systems used, e.g., in cars and UAVs, are typically equipped with IMUs (inertial measurement units) that can measure the gravity vector accurately. Using this additional information, the y-axes of the cameras can be al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77ae5b4c8f7f2b39cf504e7d3ed3baf7
https://doi.org/10.1109/cvpr46437.2021.00046
https://doi.org/10.1109/cvpr46437.2021.00046
Publikováno v:
Computer Vision – ACCV 2020 ISBN: 9783030695248
ACCV (1)
ACCV (1)
Camera systems used, e.g., in cars, UAVs, smartphones, and tablets, are typically equipped with IMUs (inertial measurement units) that can measure the gravity vector. Using the information from an IMU, the y-axes of cameras can be aligned with the gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5fc02674fa947fe6e589372e981a2a8
https://eprints.sztaki.hu/10222/
https://eprints.sztaki.hu/10222/
Autor:
Snehal Bhayani, Torsten Sattler, Daniel Barath, Patrik Beliansky, Janne Heikkila, Zuzana Kukelova
In this paper, we propose the first minimal solutions for estimating the semi-generalized homography given a perspective and a generalized camera. The proposed solvers use five 2D-2D image point correspondences induced by a scene plane. One of them a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dabb036ed687ad4924eaab966a4626f
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 43(11)
This paper introduces minimal solvers that jointly solve for radial lens undistortion and affine-rectification using local features extracted from the image of coplanar translated and reflected scene texture, which is common in man-made environments.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b2f81cb151b8567a6a56be076a72745
https://pubmed.ncbi.nlm.nih.gov/32386139
https://pubmed.ncbi.nlm.nih.gov/32386139