Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Pritts, James"'
Autor:
Lochman, Yaroslava, Liepieshov, Kostiantyn, Chen, Jianhui, Perdoch, Michal, Zach, Christopher, Pritts, James
Existing calibration methods occasionally fail for large field-of-view cameras due to the non-linearity of the underlying problem and the lack of good initial values for all parameters of the used camera model. This might occur because a simpler proj
Externí odkaz:
http://arxiv.org/abs/2109.09704
This paper proposes minimal solvers that use combinations of imaged translational symmetries and parallel scene lines to jointly estimate lens undistortion with either affine rectification or focal length and absolute orientation. We use constraints
Externí odkaz:
http://arxiv.org/abs/2011.08988
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) 1-1
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:
http://arxiv.org/abs/1911.01507
Publikováno v:
International Journal of Computer Vision (2020) 1-19
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:
http://arxiv.org/abs/1907.11539
This paper introduces the first minimal solvers that jointly estimate lens distortion and affine rectification from repetitions of rigidly transformed coplanar local features. The proposed solvers incorporate lens distortion into the camera model and
Externí odkaz:
http://arxiv.org/abs/1807.06110
This paper introduces the first minimal solvers that jointly solve for affine-rectification and radial lens distortion from coplanar repeated patterns. Even with imagery from moderately distorted lenses, plane rectification using the pinhole camera m
Externí odkaz:
http://arxiv.org/abs/1711.11339
Publikováno v:
Proceedings of the British Machine Vision Conference (BMVC) 2016
This paper proposes an automated method to detect, group and rectify arbitrarily-arranged coplanar repeated elements via energy minimization. The proposed energy functional combines several features that model how planes with coplanar repeats are pro
Externí odkaz:
http://arxiv.org/abs/1711.09432
Autor:
Pritts, James1,2 (AUTHOR) prittjam@cvut.cz, Kukelova, Zuzana3 (AUTHOR), Larsson, Viktor4 (AUTHOR), Lochman, Yaroslava5 (AUTHOR), Chum, Ondřej3 (AUTHOR)
Publikováno v:
International Journal of Computer Vision. Apr2020, Vol. 128 Issue 4, p950-968. 19p. 9 Color Photographs, 1 Diagram, 2 Charts, 5 Graphs.
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Akademický článek
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