Curvature Weighted Evidence Combination for Shape-from-Shading

  • Fabio Sartori
  • Edwin R. Hancock
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2396)


This paper describes a new curvature consistency method for shape-from-shading. Our idea is to combine evidence for the best surface normal direction. To do this we transport surface normals across the surface using a local estimate of the Hessian matrix. The evidence combination process uses the normal curvature to compute a weighted average surface normal direction. We experiment with the resulting shape-from-shading method on a variety of real world imagery.


Surface Normal Local Estimate Hessian Matrix Normal Curvature Transport Path 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Fabio Sartori
    • 1
  • Edwin R. Hancock
    • 1
  1. 1.Department of Computer ScienceUniversity of YorkUK

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