Estimating Cast Shadows using SFS and Class-based Surface Completion

  • Authors:
  • William A. P. Smith;Edwin R. Hancock

  • Affiliations:
  • University of York,York, YO10 5DD, UK;University of York,York, YO10 5DD, UK

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

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper describes a method for cast shadow removal from obliquely illuminated images of faces. The method draws on a statistical model of surface normal directions. The model is fitted to shadowed facial images using robust statistics and constraints provided by shape-from-shading. Regions associated with poor fit residuals are associated with shadow regions. We illustrate the method on the Yale B database where it gives both good shadow map estimates and fills-in the facial surface in the shadow regions.