Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Havlena, Michal"'
Structure from Motion or the sparse 3D reconstruction out of individual photos is a long studied topic in computer vision. Yet none of the existing reconstruction pipelines fully addresses a progressive scenario where images are only getting availabl
Externí odkaz:
http://arxiv.org/abs/1803.07349
Estimating a depth map from multiple views of a scene is a fundamental task in computer vision. As soon as more than two viewpoints are available, one faces the very basic question how to measure similarity across >2 image patches. Surprisingly, no d
Externí odkaz:
http://arxiv.org/abs/1703.08836
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing May 2016 115:47-62
Autor:
Torii, Akihiko1 torii@cmp.felk.cvut.cz, Havlena, Michal1 havlem1@cmp.felk.cvut.cz, Pajdla, Tomáš1 pajdla@cmp.felk.cvut.cz
Publikováno v:
International Journal of Computer Vision. Jan2011, Vol. 91 Issue 2, p157-174. 18p. 11 Color Photographs, 4 Charts, 6 Graphs.
© 2017 IEEE. Digital impressions of teeth, obtained through intra-oral scanning, allow for more efficient and cost effective treatments of many dental indications. Current state-of-the-art intra-oral impression acquisition systems make use of a sepa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1131::5fd7ad8b509d994bf2afae50d7ed5ccb
https://lirias.kuleuven.be/handle/123456789/627545
https://lirias.kuleuven.be/handle/123456789/627545
Akademický článek
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2016 IEEE Conference on Computer Vision & Pattern Recognition (CVPR); 2016, p1582-1590, 9p
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2015 14th IAPR International Conference on Machine Vision Applications (MVA); 2015, p30-34, 5p
Publikováno v:
2015 IEEE International Conference on Computer Vision (ICCV); 1/1/2015, p2102-2110, 9p