Equisolid Fisheye Stereovision Calibration and Point Cloud Computation

This paper deals with dense 3D point cloud computation of urban environments around a vehicle. The idea is to use two fisheye views to get 3D coordinates of the surrounding scene's points. The first contribution of this paper is the adaptation of an omnidirectional stereovision self-calibration...

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Main Authors: J. Moreau, A. Ambellouis, Y. Ruichek
Format: Article
Language:English
Published: Copernicus Publications 2013-10-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W2/167/2013/isprsarchives-XL-7-W2-167-2013.pdf
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author J. Moreau
A. Ambellouis
Y. Ruichek
author_facet J. Moreau
A. Ambellouis
Y. Ruichek
author_sort J. Moreau
collection DOAJ
description This paper deals with dense 3D point cloud computation of urban environments around a vehicle. The idea is to use two fisheye views to get 3D coordinates of the surrounding scene's points. The first contribution of this paper is the adaptation of an omnidirectional stereovision self-calibration algorithm to an equisolid fisheye projection model. The second contribution is the description of a new epipolar matching based on a scan-circle principle and a dynamic programming technique adapted for fisheye images. The method is validated using both synthetic images for which ground truth is available and real images of an urban scene.
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spelling doaj.art-7641d720766941818a2d409573d005572022-12-22T03:37:38ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342013-10-01XL-7/W216717210.5194/isprsarchives-XL-7-W2-167-2013Equisolid Fisheye Stereovision Calibration and Point Cloud ComputationJ. Moreau0A. Ambellouis1Y. Ruichek2IRTES-SET, UTBM, 90010 Belfort CEDEX, FranceIFSTTAR, LEOST, Univ Lille Nord de France – F-59000 Lille, F-59650 Villeneuve d'Ascq, FranceIRTES-SET, UTBM, 90010 Belfort CEDEX, FranceThis paper deals with dense 3D point cloud computation of urban environments around a vehicle. The idea is to use two fisheye views to get 3D coordinates of the surrounding scene's points. The first contribution of this paper is the adaptation of an omnidirectional stereovision self-calibration algorithm to an equisolid fisheye projection model. The second contribution is the description of a new epipolar matching based on a scan-circle principle and a dynamic programming technique adapted for fisheye images. The method is validated using both synthetic images for which ground truth is available and real images of an urban scene.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W2/167/2013/isprsarchives-XL-7-W2-167-2013.pdf
spellingShingle J. Moreau
A. Ambellouis
Y. Ruichek
Equisolid Fisheye Stereovision Calibration and Point Cloud Computation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title Equisolid Fisheye Stereovision Calibration and Point Cloud Computation
title_full Equisolid Fisheye Stereovision Calibration and Point Cloud Computation
title_fullStr Equisolid Fisheye Stereovision Calibration and Point Cloud Computation
title_full_unstemmed Equisolid Fisheye Stereovision Calibration and Point Cloud Computation
title_short Equisolid Fisheye Stereovision Calibration and Point Cloud Computation
title_sort equisolid fisheye stereovision calibration and point cloud computation
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W2/167/2013/isprsarchives-XL-7-W2-167-2013.pdf
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