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Reconstructing Surfaces from Point Scans

by Erin Chambers, SLU

  • Computer Science Seminar
  • Geometry/ Topology Seminar
When Tue, Sep 19, 2017
from 04:10 PM to 05:00 PM
Where 334 Ritter Hall
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A fundamental problem when representing or analyzing object is the following: given a set of  points, generally produced by scanning some object (i.e. in applications such as motion  capture, facial recognition, medical imaging, etc.), reconstruct a triangulation on these points which accurately represents the original object.  We will survey classical results and algorithms from this area, focusing especially on the crust and powercrust algorithms, which were some of the first to give provable guarantees on the quality of the reconstruction, both from a topological and a geometric standpoint.

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The 2018 Math & Statistics Department Award Ceremony Featuring Sarah Greenwald, Appalachian State University
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