Integrating surface normal vectors using fast marching method

  • Authors:
  • Jeffrey Ho;Jongwoo Lim;Ming-Hsuan Yang;David Kriegman

  • Affiliations:
  • Department of CISE, University of Florida, Gainesville, FL;Honda Research Institute, Mountain View, CA;Honda Research Institute, Mountain View, CA;Department of Computer Science and Engineering, University of California, San Diego, CA

  • Venue:
  • ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
  • Year:
  • 2006

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Abstract

Integration of surface normal vectors is a vital component in many shape reconstruction algorithms that require integrating surface normals to produce their final outputs, the depth values. In this paper, we introduce a fast and efficient method for computing the depth values from surface normal vectors. The method is based on solving the Eikonal equation using Fast Marching Method. We introduce two ideas. First, while it is not possible to solve for the depths Z directly using Fast Marching Method, we solve the Eikonal equation for a function W of the form W = Z + λf. With appropriately chosen values for λ, we can ensure that the Eikonal equation for W can be solved using Fast Marching Method. Second, we solve for W in two stages with two different λ values, first in a small neighborhood of the given initial point with large λ, and then for the rest of the domain with a smaller λ. This step is needed because of the finite machine precision and rounding-off errors. The proposed method is very easy to implement, and we demonstrate experimentally that, with insignificant loss in precision, our method is considerably faster than the usual optimization method that uses conjugate gradient to minimize an error function.