Surface reconstruction by moving contours

  • Authors:
  • Gill Barequet;Alik Zamansky

  • Affiliations:
  • Technion, Haifa, Israel;Technion, Haifa, Israel

  • Venue:
  • CGIM '07 Proceedings of the Ninth IASTED International Conference on Computer Graphics and Imaging
  • Year:
  • 2007

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Abstract

This paper presents a practical solution for three-dimensional shape reconstruction from sparsely sampled two-dimensional data, represented as contours on a set of parallel slices. Our method separates the solution for contour correspondence from the surface tiling, and is guaranteed to produce non-self-intersecting surfaces regardless of the contours' geometry, complexity, and the computed correspondence. Though our algorithm is fully automatic, human intervention is also possible for refinement. First, we apply a method based on object recognition techniques to find contour correspondence. Next, we use Voronoi diagrams and operations on a planar map to create a partition, which guarantees a correct reconstruction. Finally, a surface-interpolation algorithm is applied to the contours translated according to both their correspondence and the created partition to produce the actual surface. Experimental results demonstrate the good performance of our algorithm and improvement in the quality of reconstruction for sparsely-sampled inputs.