Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Giulio Zaccaroni"'
Autor:
Filippo Aleotti, Giulio Zaccaroni, Luca Bartolomei, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
Publikováno v:
Sensors, Vol 21, Iss 1, p 15 (2020)
Depth perception is paramount for tackling real-world problems, ranging from autonomous driving to consumer applications. For the latter, depth estimation from a single image would represent the most versatile solution since a standard camera is avai
Externí odkaz:
https://doaj.org/article/83e5aac131de4abd8bf18ee9b2d826a8
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585853
ECCV (24)
ECCV (24)
Estimating the confidence of disparity maps inferred by a stereo algorithm has become a very relevant task in the years, due to the increasing number of applications leveraging such cue. Although self-supervised learning has recently spread across ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9a4e03ad23817aafafb4a3354329191
http://hdl.handle.net/11585/764281
http://hdl.handle.net/11585/764281
Autor:
Matteo Poggi, Filippo Aleotti, Giulio Zaccaroni, Luca Bartolomei, Fabio Tosi, Stefano Mattoccia
Publikováno v:
Sensors, Vol 21, Iss 15, p 15 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 1
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 1
Depth perception is paramount to tackle real-world problems, ranging from autonomous driving to consumer applications. For the latter, depth estimation from a single image represents the most versatile solution, since a standard camera is available o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bf73bf3e625e7814cc7ee49d956f5a4
http://hdl.handle.net/11585/785947
http://hdl.handle.net/11585/785947