Space-time surface reconstruction using incompressible flow

  • Authors:
  • Andrei Sharf;Dan A. Alcantara;Thomas Lewiner;Chen Greif;Alla Sheffer;Nina Amenta;Daniel Cohen-Or

  • Affiliations:
  • University of California at Davis;University of California at Davis;PUC-Rio de Janeiro;University of British Columbia;University of British Columbia;University of California at Davis;Tel Aviv University

  • Venue:
  • ACM SIGGRAPH Asia 2008 papers
  • Year:
  • 2008

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Abstract

We introduce a volumetric space-time technique for the reconstruction of moving and deforming objects from point data. The output of our method is a four-dimensional space-time solid, made up of spatial slices, each of which is a three-dimensional solid bounded by a watertight manifold. The motion of the object is described as an incompressible flow of material through time. We optimize the flow so that the distance material moves from one time frame to the next is bounded, the density of material remains constant, and the object remains compact. This formulation overcomes deficiencies in the acquired data, such as persistent occlusions, errors, and missing frames. We demonstrate the performance of our flow-based technique by reconstructing coherent sequences of watertight models from incomplete scanner data.