Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Riccardo Gherardi"'
Publikováno v:
Bio-Protocol, Vol 14, Iss 10 (2024)
Calcium signalling in the endocardium is critical for heart valve development. Calcium ion pulses in the endocardium are generated in response to mechanical forces due to blood flow and can be visualised in the beating zebrafish heart using a genetic
Externí odkaz:
https://doaj.org/article/c5706fab109e4d0f8478056ea2924dd7
Publikováno v:
Pathogens, Vol 10, Iss 12, p 1567 (2021)
The knowledge of raptor pathogens and associated lesions may be extremely important to enhancing raptor conservation efforts and reducing pathogen spillover to humans and domesticated animals and vice versa. Parasite infections of the digestive syste
Externí odkaz:
https://doaj.org/article/b4ca9df44872460faa76cb0b4aff8b1d
Publikováno v:
Avian Biology Research. 9:282-286
Data obtained from wildlife rescue centres are a useful means of understanding threats posed to wild animal populations. Aims of the present study were to investigate the causes of admission and outcomes of Long-eared Owls ( Asio otus) hospitalised i
Publikováno v:
WACV
We introduce a precise deterministic approach for pixel-wise change detection in images taken of a scene of interest over time. Our motivation is for applications such as artefact condition monitoring and structural inspection, where a common problem
Autor:
Roberto Scopigno, Riccardo Gherardi, Massimiliano Corsini, Fabio Ganovelli, Andrea Fusiello, Matteo Dellepiane
Publikováno v:
International Journal of Computer Vision 102 (2013): 91–111. doi:10.1007/s11263-012-0552-5
info:cnr-pdr/source/autori:Corsini M.; Dellepiane M.; Ganovelli F.; Gherardi R.; Fusiello A.; Scopigno R./titolo:Fully automatic registration of image sets on approximate geometry/doi:10.1007%2Fs11263-012-0552-5/rivista:International Journal of Computer Vision/anno:2013/pagina_da:91/pagina_a:111/intervallo_pagine:91–111/volume:102
info:cnr-pdr/source/autori:Corsini M.; Dellepiane M.; Ganovelli F.; Gherardi R.; Fusiello A.; Scopigno R./titolo:Fully automatic registration of image sets on approximate geometry/doi:10.1007%2Fs11263-012-0552-5/rivista:International Journal of Computer Vision/anno:2013/pagina_da:91/pagina_a:111/intervallo_pagine:91–111/volume:102
The photorealistic acquisition of 3D objects often requires color information from digital photography to be mapped on the acquired geometry, in order to obtain a textured 3D model. This paper presents a novel fully automatic 2D/3D global registratio
We describe an automated system for detecting, localising, clustering and ranking visual changes on tunnel surfaces. The system is designed to provide assistance to expert human inspectors carrying out structural health monitoring and maintenance on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51ad907cfd6a0b4373a5483220c8c57c
https://www.repository.cam.ac.uk/handle/1810/246581
https://www.repository.cam.ac.uk/handle/1810/246581
This paper addresses the structure-and-motion problem, that requires to find camera motion and 3D struc- ture from point matches. A new pipeline, dubbed Samantha, is presented, that departs from the prevailing sequential paradigm and embraces instead
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49db0ae90dca18abcc29efc613de7192
http://hdl.handle.net/11390/1070199
http://hdl.handle.net/11390/1070199
Publikováno v:
BMVC
We describe a system for the detection of changes in multiple views of a tunnel surface. From data gathered by a robotic inspection rig, we use a structure-from-motion pipeline to build panoramas of the surface and register images from different time
Autor:
Oliver Woodford, Riccardo Gherardi, Atsuto Maki, Roberto Cipolla, Bjorn Stenger, Minh-Tri Pham, Frank Perbet
The non-Euclidean nature of direct isometries in a Euclidean space, i.e. transformations consisting of a rotation and a translation, creates difficulties when computing distances, means and distributions over them, which have been well studied in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::977beef33c6fa0c879f8249a81f42891
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-158118
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-158118
Autor:
Atsuto Maki, Roberto Cipolla, Oliver Woodford, Riccardo Gherardi, Minh-Tri Pham, Frank Perbet, Bjorn Stenger
Publikováno v:
Machine Learning for Computer Vision ISBN: 9783642286605
This chapter presents a method for vote-based 3D shape recognition and registration, in particular using mean shift on 3D pose votes in the space of direct similarity transformations for the first time. We introduce a new distance between poses in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf18406be24732ca3b1d0775aa7efda4
https://doi.org/10.1007/978-3-642-28661-2_6
https://doi.org/10.1007/978-3-642-28661-2_6