Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Bahman Soheilian"'
Publikováno v:
Applied Sciences, Vol 7, Iss 9, p 904 (2017)
Remote sensing (RS) and geographic information system (GIS) data is increasingly used in urban stormwater modeling. The undirected use of such data may waste economic and human resources. In order to provide guidance for practitioners to efficiently
Externí odkaz:
https://doaj.org/article/11a5b63e0d2d4e1dbb761d5a095f65d6
Autor:
Nicolas Paparoditis, Jean-Pierre Papelard, Bertrand Cannelle, Alexandre Devaux, Bahman Soheilian, Nicolas David, Erwan Houzay
Publikováno v:
Revue Française de Photogrammétrie et de Télédétection, Iss 200 (2014)
Nous présentons dans cet article un système de numérisation mobile 3D hybride laser-image qui permet d'acquérir des infrastructures de données spatiales répondant aux besoins d'applications diverses allant de navigations multimédia immersives
Externí odkaz:
https://doaj.org/article/db5d84e592c341d5ae1c92afda321b80
Autor:
Karim Hammoudi, Fadi Dornaika, Bahman Soheilian, Bruno Vallet, John McDonald, Nicolas Paparoditis
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
In this paper we present a practical approach for generating an occlusion-free textured 3D map of urban facades by the synergistic use of terrestrial images, 3D point clouds and area-based information. Particularly in dense urban environments, the hi
Externí odkaz:
https://doaj.org/article/c8d4fe5c66604eedaafe1d2307f12922
Publikováno v:
Multimedia Tools and Applications
Multimedia Tools and Applications, Springer Verlag, 2020, ⟨10.1007/s11042-020-08992-6⟩
Multimedia Tools and Applications, Springer Verlag, 2020, ⟨10.1007/s11042-020-08992-6⟩
Visual localization is a useful alternative to standard localization techniques. It works by utilizing cameras. In a typical scenario, features are extracted from captured images and compared with geo-referenced databases. Location information is the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d09663f7d52b0e9ec704c861b682f2ff
https://hal.archives-ouvertes.fr/hal-02552716
https://hal.archives-ouvertes.fr/hal-02552716
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 140:90-103
A landmark based localization with uncertainty analysis based on cameras and geo-referenced landmarks is presented in this paper. The system is developed to adapt different camera configurations for six degree-of-freedom pose estimation. Local bundle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dc83265c6106d29af602f266a423c12
https://doi.org/10.1016/j.isprsjprs.2017.09.010
https://doi.org/10.1016/j.isprsjprs.2017.09.010
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B3, Pp 685-692 (2016)
Vision based localization is widely investigated for the autonomous navigation and robotics. One of the basic steps of vision based localization is the extraction of interest points in images that are captured by the embedded camera. In this paper, S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47500374813bb23e3a5f1d274714a05d
https://doi.org/10.5194/isprsarchives-xli-b3-685-2016
https://doi.org/10.5194/isprsarchives-xli-b3-685-2016
Publikováno v:
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016, III-1, pp.25-31. ⟨10.5194/isprs-annals-III-1-25-2016⟩
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol III-1, Pp 25-31 (2016)
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016, III-1, pp.25-31. ⟨10.5194/isprs-annals-III-1-25-2016⟩
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol III-1, Pp 25-31 (2016)
This paper proposes an hybrid online calibration method for a laser scanner mounted on a mobile platform also equipped with an imaging system. The method relies on finding the calibration parameters that best align the acquired points cloud to the im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2aeac81194bf8f29ec34691e8460a7ae
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-1/25/2016/
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-1/25/2016/
Publikováno v:
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Copernicus GmbH (Copernicus Publications), 2016, XLI-B3, pp.331-335. ⟨10.5194/isprs-archives-XLI-B3-331-2016⟩
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B3, Pp 331-335 (2016)
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Copernicus GmbH (Copernicus Publications), 2016, XLI-B3, pp.331-335. ⟨10.5194/isprs-archives-XLI-B3-331-2016⟩
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B3, Pp 331-335 (2016)
Laser scanners are used more and more in mobile mapping systems. They provide 3D point clouds that are used for object reconstruction and registration of the system. For both of those applications, uncertainty analysis of 3D points is of great intere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49310c7bacef495c2f1020d949067ece
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/331/2016/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/331/2016/
Publikováno v:
CBMI
IEEE International Conference on Content-Based Multimedia Indexing, CBMI 2018
IEEE International Conference on Content-Based Multimedia Indexing, CBMI 2018, Sep 2018, La Rochelle, France
IEEE International Conference on Content-Based Multimedia Indexing, CBMI 2018
IEEE International Conference on Content-Based Multimedia Indexing, CBMI 2018, Sep 2018, La Rochelle, France
Visual localization is a useful alternative to standard localization techniques. In a typical scenario, features are extracted from images captured by cameras and compared with geo-referenced databases. Location information is then inferred from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01d904d33b917b74cbe57661f5281317
https://hal.archives-ouvertes.fr/hal-02338292
https://hal.archives-ouvertes.fr/hal-02338292
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-3/W4, Pp 47-54 (2015)
We propose an integrated bottom-up/top-down approach to road-marking extraction from image space. It is based on energy minimization using marked point processes. A generic road marking object model enable us to define universal energy functions that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02474e8e3b70441225d72d3b1fde5864
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W4/47/2015/isprsannals-II-3-W4-47-2015.pdf
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W4/47/2015/isprsannals-II-3-W4-47-2015.pdf