A barcode shape descriptor for curve point cloud data

  • Authors:
  • Anne Collins;Afra Zomorodian;Gunnar Carlsson;Leonidas J. Guibas

  • Affiliations:
  • Department of Mathematics, Stanford University, 450 Serra Mall, Bldg. 380, Stanford, CA 94305 2125, USA;Department of Computer Science, Stanford University, Stanford, CA 94305, USA;Department of Mathematics, Stanford University, 450 Serra Mall, Bldg. 380, Stanford, CA 94305 2125, USA;Department of Computer Science, Stanford University, Stanford, CA 94305, USA

  • Venue:
  • Computers and Graphics
  • Year:
  • 2004

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Abstract

In this paper, we present a complete computational pipeline for extracting a compact shape descriptor for curve point cloud data (PCD). Our shape descriptor, called a barcode, is based on a blend of techniques from differential geometry and algebraic topology. We also provide a metric over the space of barcodes, enabling fast comparison of PCDs for shape recognition and clustering. To demonstrate the feasibility of our approach, we implement our pipeline and provide experimental evidence in shape classification and parametrization.