Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Alioscia Petrelli"'
Autor:
Alioscia Petrelli, Luigi Di Stefano
Publikováno v:
Computer Graphics Forum. 35:59-72
Inspired by recent work on robust and fast computation of 3D Local Reference Frames LRFs, we propose a novel pipeline for coarse registration of 3D point clouds. Key to the method are: i the observation that any two corresponding points endowed with
Local descriptors are extracted from digital image information and digital depth information related to digital images. The local descriptors convey appearance description information and shape description information related to the digital images. G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::2e7f73a220c30fe6788e16c94866ee2b
http://hdl.handle.net/11585/806581
http://hdl.handle.net/11585/806581
Mobile mapping systems acquire massive amount of data under uncontrolled conditions and pose new challenges to the development of robust computer vision algorithms. In this work, we show how a combination of solid image analysis and pattern recogniti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::369b8c410c264ccc3f7f55ef84258a26
http://hdl.handle.net/11585/387072
http://hdl.handle.net/11585/387072
Autor:
Alioscia Petrelli, Luigi Di Stefano
Publikováno v:
Image Analysis and Processing-ICIAP 2017 ISBN: 9783319685595
ICIAP (1)
ICIAP (1)
Both color and depth information may be deployed to seek by content through RGB-D imagery. Previous works dealing with global descriptors for RGB-D images advocate a decision level fusion whereby independently computed color and depth representations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2da841758e36af4d88939fb0d90c6886
http://hdl.handle.net/11585/619495
http://hdl.handle.net/11585/619495
Autor:
Samuele Salti, Nicola Fioraio, Tommaso Cavallari, Alioscia Petrelli, Luigi Di Stefano, Federico Tombari
Publikováno v:
IROS
This work aims at automatic detection of man-made pole-like structures in scans of urban environments acquired by a 3D sensor mounted on top a moving vehicle. Pole-like structures, such as e.g. roadsigns and streetlights, are widespread in these envi
Autor:
Alioscia Petrelli, Luigi Di Stefano
Publikováno v:
Journal of Electronic Imaging. 27:1
Both color and depth information may be deployed to seek by content through RGB-D imagery. Previous works dealing with global descriptors for RGB-D images advocate a decision level merger in which color and depth representations, independently comput
Publikováno v:
IJCNN
In this paper we present a pipeline for automatic detection of traffic signs in images. The proposed system can deal with high appearance variations, which typically occur in traffic sign recognition applications, especially with strong illumination
Publikováno v:
3DV
As integration of depth sensing into mobile devices is likely forthcoming, we investigate on merging appearance and shape information for mobile visual search. Accordingly, we propose an RGB-D search engine architecture that can attain high recogniti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e78735c3b81539591e42a175125fd146
http://hdl.handle.net/11585/545422
http://hdl.handle.net/11585/545422
Publikováno v:
Image Analysis and Processing — ICIAP 2015 ISBN: 9783319232331
ICIAP (2)
ICIAP (2)
Anticipating the oncoming integration of depth sensing into mobile devices, we experimentally compare different compact features for representing RGB-D images in mobile visual search. Experiments on 3 state-of-the-art datasets, addressing both catego
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbf0e01b89f75c08351fac626b1a6395
https://doi.org/10.1007/978-3-319-23234-8_2
https://doi.org/10.1007/978-3-319-23234-8_2
Publikováno v:
3DIMPVT
The literature on local invariant 3D features is growing, also fostered by the advent of cheap off-the-shelf 3D sensors. Although several recent proposals in the field include both a detector and a descriptor, some of the most successful and used des