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of 18
pro vyhledávání: '"Klaudiny, Martin"'
Autor:
Klaudíny, Martin
This thesis is dedicated to the problem of 3D face capture. A majority of current face capture systems exploits a pattern projection. The goal of thesis was to develop the 3D face capture system based on the passive stereo photogrammetry. The high-re
Externí odkaz:
http://www.nusl.cz/ntk/nusl-235949
Autor:
Klaudiny, Martin, Hilton, Adrian
Publikováno v:
In Pattern Recognition Letters 15 October 2014 48:81-92
Autor:
Klaudiny†, Martin1 mklaudiny@gmail.com, McDonagh†, Steven1 steve.g.mcdonagh@gmail.com, Bradley, Derek1, Beeler, Thabo1, Mitchell, Kenny1,2 kenny.mitchell@disneyresearch.com
Publikováno v:
Computer Graphics Forum. May2017, Vol. 36 Issue 2, p325-336. 12p.
It is common to use factored representation of visibility, lighting and BRDF in inverse rendering. Current techniques use Haar wavelets to calculate these triple product integrals efficiently [Ng et al. 2004]. Haar wavelets are an ideal basis for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______105::e765813d84366600e4509babbe65c193
http://hdl.handle.net/1942/16014
http://hdl.handle.net/1942/16014
Autor:
Klaudiny, Martin.
Capturing a realistic digital copy of a facial performance has high importance for film and television production. This allows high-quality replay of the performance under different conditions such as a new illumination or viewpoint. The model of per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______305::7aca29310203edf9a49c72f48c80f81a
https://surrey.eprints-hosting.org/855695/
https://surrey.eprints-hosting.org/855695/
Autor:
McDonagh, Steven, Klaudiny, Martin, Bradley, Derek, Beeler, Thabo, Matthews, Iain, Mitchell, Kenny
Publikováno v:
2016 Fourth International Conference on 3D Vision (3DV); 2016, p639-648, 10p
Publikováno v:
2014 2nd International Conference on 3D Vision; 2014, p625-632, 8p
Akademický článek
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Publikováno v:
2013 IEEE International Conference on Computer Vision Workshops; 2013, p307-314, 8p
Publikováno v:
Computer Vision - ECCV 2012 (9783642337642); 2012, p743-756, 14p