Zobrazeno 1 - 10
of 22
pro vyhledávání: '"PUT, Jeroen"'
Autor:
Zoomers, Brent, Wijnants, Maarten, Molenaers, Ivan, Vanherck, Joni, Put, Jeroen, Jorissen, Lode, Michiels, Nick
Over the past year, 3D Gaussian Splatting (3DGS) has received significant attention for its ability to represent 3D scenes in a perceptually accurate manner. However, it can require a substantial amount of storage since each splat's individual data m
Externí odkaz:
http://arxiv.org/abs/2409.01761
Publikováno v:
ROBOVIS, 2021, 40-47
In this paper a deep learning architecture is presented that can, in real time, detect the 2D locations of certain landmarks of physical tools, such as a hammer or screwdriver. To avoid the labor of manual labeling, the network is trained on syntheti
Externí odkaz:
http://arxiv.org/abs/2210.11991
Akademický článek
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Publikováno v:
In Procedia CIRP 2021 97:39-44
Publikováno v:
Procedia CIRP; 2020, Vol. 97, p39-44, 6p
Autor:
Brouwer, Iwan, Van Der Put, Jeroen
Publikováno v:
Journal of Business Finance & Accounting. Oct-Dec97, Vol. 24 Issue 9/10, p1353-1366. 14p. 5 Charts.
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
Publikováno v:
2015 IX Brazilian Symposium on Components, Architectures & Reuse Software; 2015, p1-7, 7p
Publikováno v:
2014 International Conference on Signal Processing & Multimedia Applications (SIGMAP); 2014, p17-24, 8p