Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Cenek Albl"'
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:
IROS
We present a method to reconstruct the 3D trajectory of an airborne robotic system only from videos recorded with cameras that are unsynchronized, may feature rolling shutter distortion, and whose viewpoints are unknown. Our approach enables robust a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7390118cfbd1eaaaa20b84f72c76bc9
http://arxiv.org/abs/2003.04784
http://arxiv.org/abs/2003.04784
Publikováno v:
Computer Vision – ACCV 2018 ISBN: 9783030208929
ACCV (3)
ACCV (3)
This paper presents new efficient solutions to the rolling shutter camera absolute pose problem. Unlike the state-of-the-art polynomial solvers, we approach the problem using simple and fast linear solvers in an iterative scheme. We present several s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea703e9306a99bb350e92109fd926b89
https://doi.org/10.1007/978-3-030-20893-6_17
https://doi.org/10.1007/978-3-030-20893-6_17
Publikováno v:
CVPR
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
We present new methods for simultaneously estimating camera geometry and time shift from video sequences from multiple unsynchronized cameras. Algorithms for simultaneous computation of a fundamental matrix or a homography with unknown time shift bet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10c812fe3358ff9e9d58d7d5419e0a87
Publikováno v:
Computer Vision – ECCV 2016 ISBN: 9783319464534
ECCV (5)
ECCV (5)
We address the problem of Structure from Motion (SfM) with rolling shutter cameras. We first show that many common camera configurations, e.g. cameras with parallel readout directions, become critical and allow for a large class of ambiguities in mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2d63b1f03cd3fb17fe938945d28d992
https://doi.org/10.1007/978-3-319-46454-1_3
https://doi.org/10.1007/978-3-319-46454-1_3
Publikováno v:
CVPR
We present a minimal, non-iterative solution to the absolute pose problem for images from rolling shutter cameras. Absolute pose problem is a key problem in computer vision and rolling shutter is present in a vast majority of today's digital cameras.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb1d0946737ee49037c057a9a567c06e
https://doi.org/10.1109/cvpr.2015.7298842
https://doi.org/10.1109/cvpr.2015.7298842
Publikováno v:
Scopus-Elsevier
CVPR
CVPR
We present a solution to the rolling shutter (RS) absolute camera pose problem with known vertical direction. Our new solver, R5Pup, is an extension of the general minimal solution R6P, which uses a double linearized RS camera model initialized by th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04bac34d61edc5a0475caaa83c52b0f6
http://www.scopus.com/inward/record.url?eid=2-s2.0-84986253748&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84986253748&partnerID=MN8TOARS