Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Francesco G. B. De Natale"'
Publikováno v:
IEEE Access, Vol 8, Pp 13549-13560 (2020)
Mathematical morphology provides a large set of powerful non-linear image operators, widely used for feature extraction, noise removal or image enhancement. Although morphological filters might be used to remove artifacts produced by image manipulati
Externí odkaz:
https://doaj.org/article/a8294609135d4639866be18657da6a29
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2004, Iss 12, Pp 1899-1911 (2004)
The paper presents an analysis of the effects of lossy compression algorithms applied to images affected by geometrical distortion. It will be shown that the encoding-decoding process results in a nonhomogeneous image degradation in the geometrically
Externí odkaz:
https://doaj.org/article/255f4213bcfc4af598e7aa88e7718182
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
Externí odkaz:
https://doaj.org/article/12032076399748cfbe8a6f31319fb1e9
Publikováno v:
Drones
Volume 5
Issue 4
Drones, Vol 5, Iss 127, p 127 (2021)
Volume 5
Issue 4
Drones, Vol 5, Iss 127, p 127 (2021)
In recent years, the proliferation of unmanned aerial vehicles (UAVs) has increased dramatically. UAVs can accomplish complex or dangerous tasks in a reliable and cost-effective way but are still limited by power consumption problems, which pose seri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c56fc4dc9f3ebbaf8d10a79efd646c3e
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 41:2584-2598
Positive unlabeled (PU) learning is useful in various practical situations, where there is a need to learn a classifier for a class of interest from an unlabeled data set, which may contain anomalies as well as samples from unknown classes. The learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34298af38c69af138d80d3e9256f1797
https://doi.org/10.1109/tpami.2018.2860995
https://doi.org/10.1109/tpami.2018.2860995
Technological Infrastructure Supports New Paradigm of Care for Healthy Aging: The Living Lab Ausilia
Autor:
Barbara Gasperini, Patrizia Ianes, Mariolino De Cecco, Michela Dalprà, Luca Guandalini, Francesco Pilla, Andrea Francesconi, Francesco G. B. De Natale, Nicola Garau, Alberto Fornaser, Paolo Tomasin, Giandomenico Nollo, Giovanni M. A. Guandalini, Barbara Bauer, Andrea Grisenti
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783030631062
ForItAAL
ForItAAL
Living labs are spaces where public and private stakeholders work together to develop and prototype new products, technologies and services in real environments embedded in the community or market place. This paper outlines the approach chosen by AUS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7040d87351ccbadb9367cc875b7e2ca
https://doi.org/10.1007/978-3-030-63107-9_7
https://doi.org/10.1007/978-3-030-63107-9_7
Publikováno v:
Sensors, Vol 20, Iss 4691, p 4691 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 17
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 17
Crowd surveillance plays a key role to ensure safety and security in public areas. Surveillance systems traditionally rely on fixed camera networks, which suffer from limitations, as coverage of the monitored area, video resolution and analytic perfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1b09ea88d7ac30f5e2328015a15cc51
https://pubmed.ncbi.nlm.nih.gov/32825261
https://pubmed.ncbi.nlm.nih.gov/32825261
Camera calibration is a necessary preliminary step in computer vision for the estimation of the position of objects in the 3D world. Despite the intrinsic camera parameters can be easily computed offline, extrinsic parameters need to be computed each
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f398b9e14b05ad063e09685761a137a9
https://link.springer.com/article/10.1007/s11554-020-01002-w#rightslink
https://link.springer.com/article/10.1007/s11554-020-01002-w#rightslink
Publikováno v:
IEEE Access
13549-13560
IEEE Access, Vol 8, Pp 13549-13560 (2020)
13549-13560
IEEE Access, Vol 8, Pp 13549-13560 (2020)
Mathematical morphology provides a large set of powerful non-linear image operators, widely used for feature extraction, noise removal or image enhancement. Although morphological filters might be used to remove artifacts produced by image manipulati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::706cea9f1d015c1a535e59e6c355f381
https://hdl.handle.net/11250/2753605
https://hdl.handle.net/11250/2753605
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 13:1-22
Deep Learning (DL) has become a crucial technology for multimedia computing. It offers a powerful instrument to automatically produce high-level abstractions of complex multimedia data, which can be exploited in a number of applications, including ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbe516208282c40b1d1c485deefc5a17
https://doi.org/10.1145/3092831
https://doi.org/10.1145/3092831