Zobrazeno 1 - 10
of 39
pro vyhledávání: '"B. Soheilian"'
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,
Externí odkaz:
https://doaj.org/article/e869af4cff364233bedb54691e714365
Publikováno v:
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://doaj.org/article/70ea56cfee9941f6b26d2fc42a7c8614
Publikováno v:
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 inter
Externí odkaz:
https://doaj.org/article/2ea9ec34482d4a0cb2a4160898a1d750
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://doaj.org/article/275210e86582470baee28f4bcc0c8a22
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-3, Pp 165-172 (2014)
The 3D reconstruction of similar 3D objects detected in 2D faces a major issue when it comes to grouping the 2D detections into clusters to be used to reconstruct the individual 3D objects. Simple clustering heuristics fail as soon as similar objects
Externí odkaz:
https://doaj.org/article/8e1fc142260543bfa1802955c9564ea6
Autor:
B. Soheilian, M. Brédif
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-3, Pp 143-148 (2014)
The paper presents an algorithm for reconstruction of 3D circle from its apparition in n images. It supposes that camera poses are known up to an uncertainty. They will be considered as observations and will be refined during the reconstruction proce
Externí odkaz:
https://doaj.org/article/0b2f2a6b53e24ca4b9f5763b76d057b1
Autor:
A. Hervieu, B. Soheilian
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-3/W3, Pp 31-36 (2013)
Scene analysis, in urban environments, deals with street modeling and understanding. A street mainly consists of roadways, pavements (i.e., walking areas), facades, still and moving obstacles. In this paper, we investigate the surface modeling of roa
Externí odkaz:
https://doaj.org/article/2290caa29b9648e09c42d2020e688121
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol I-3, Pp 245-250 (2012)
3D reconstruction of trees is of great interest in large-scale 3D city modelling. Laser scanners provide geometrically accurate 3D point clouds that are very useful for object recognition in complex urban scenes. Trees often cause important occlusio
Externí odkaz:
https://doaj.org/article/fe6619feff414e419102d9ac1c775502
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Akademický článek
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