Volume XL-7/W2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W2, 167-172, 2013
https://doi.org/10.5194/isprsarchives-XL-7-W2-167-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W2, 167-172, 2013
https://doi.org/10.5194/isprsarchives-XL-7-W2-167-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

  29 Oct 2013

29 Oct 2013

Equisolid Fisheye Stereovision Calibration and Point Cloud Computation

J. Moreau1,2, A. Ambellouis2, and Y. Ruichek1 J. Moreau et al.
  • 1IRTES-SET, UTBM, 90010 Belfort CEDEX, France
  • 2IFSTTAR, LEOST, Univ Lille Nord de France – F-59000 Lille, F-59650 Villeneuve d'Ascq, France

Keywords: Fisheye stereovision, binocular, 3D reconstruction, point cloud, dynamic programming matching

Abstract. 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.