Volume XXXIX-B3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 269-274, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B3-269-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 269-274, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B3-269-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  31 Jul 2012

31 Jul 2012

RECONSTRUCTION OF SKY ILLUMINATION DOMES FROM GROUND-BASED PANORAMAS

F. Coubard1, L. Lelégard1, M. Brédif1, N. Paparoditis1, and X. Briottet2 F. Coubard et al.
  • 1Université Paris-Est, Institut Géographique National, MATIS lab, 73, avenue de Paris, 94165 SAINT-MANDÉ, FRANCE
  • 2ONERA – DOTA 2, avenue Édouard Belin, 31055 TOULOUSE, FRANCE

Keywords: Sky radiance, illumination, environment map, terrestrial images

Abstract. The knowledge of the sky illumination is important for radiometric corrections and for computer graphics applications such as relighting or augmented reality. We propose an approach to compute environment maps, representing the sky radiance, from a set of ground-based images acquired by a panoramic acquisition system, for instance a mobile-mapping system. These images can be affected by important radiometric artifacts, such as bloom or overexposure. A Perez radiance model is estimated with the blue sky pixels of the images, and used to compute additive corrections in order to reduce these radiometric artifacts. The sky pixels are then aggregated in an environment map, which still suffers from discontinuities on stitching edges. The influence of the quality of estimated sky radiance on the simulated light signal is measured quantitatively on a simple synthetic urban scene; in our case, the maximal error for the total sensor radiance is about 10%.