Estimation of Dynamic Light Changes in Outdoor Scenes Without the use of Calibration Objects

  • Authors:
  • Mikkel Sandberg Andersen;Tommy Jensen;Claus B. Madsen

  • Affiliations:
  • Aalborg University. DK-9220 Aalborg, Denmark;Aalborg University. DK-9220 Aalborg, Denmark;Aalborg University. DK-9220 Aalborg, Denmark

  • Venue:
  • ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
  • Year:
  • 2006

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Abstract

The the work presented in this paper explores how dynamical light parameters in an outdoor environment can be estimated for use in a real-time augmented reality (AR) system. A method using existing inverse rendering techniques is used to acquire diffuse surface reflectances in an offline procedure. The reflectances are used in an on-line procedure to estimate the illumination parameters of an outdoor scene. The method presented reduces the light estimation problem of outdoor scenes to a modified Phong shading model with two unknown parameters, which can be determined through the use of a linear equations system. The work presented provides an elegant method for estimating dynamically changing illumination parameters without the need for a calibration object in the scene.