3D shape from unorganized 3d point clouds

  • Authors:
  • George Kamberov;Gerda Kamberova;Amit Jain

  • Affiliations:
  • Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ;Department of Computer Science, Hofstra University, Hempstead, NY;Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ

  • Venue:
  • ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
  • Year:
  • 2005

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Abstract

We present a framework to automatically infer topology and geometry from an unorganized 3D point cloud obtained from a 3D scene. If the cloud is not oriented, we use existing methods to orient it prior to recovering the topology. We develop a quality measure for scoring a chosen topology/orientation. The topology is used to segment the cloud into manifold components and later in the computation of shape descriptors.