Unique signatures of histograms for local surface description

  • Authors:
  • Federico Tombari;Samuele Salti;Luigi Di Stefano

  • Affiliations:
  • CVLab, DEIS, University of Bologna, Bologna, Italy;CVLab, DEIS, University of Bologna, Bologna, Italy;CVLab, DEIS, University of Bologna, Bologna, Italy

  • Venue:
  • ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
  • Year:
  • 2010

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Abstract

This paper deals with local 3D descriptors for surface matching. First, we categorize existing methods into two classes: Signatures and Histograms. Then, by discussion and experiments alike, we point out the key issues of uniqueness and repeatability of the local reference frame. Based on these observations, we formulate a novel comprehensive proposal for surface representation, which encompasses a new unique and repeatable local reference frame as well as a new 3D descriptor. The latter lays at the intersection between Signatures and Histograms, so as to possibly achieve a better balance between descriptiveness and robustness. Experiments on publicly available datasets as well as on range scans obtained with Spacetime Stereo provide a thorough validation of our proposal.