Surface registration markers from range scan data

  • Authors:
  • John Rugis;Reinhard Klette

  • Affiliations:
  • CITR, Dep. of Computer Science, The University of Auckland, Auckland, New Zealand;CITR, Dep. of Computer Science, The University of Auckland, Auckland, New Zealand

  • Venue:
  • IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
  • Year:
  • 2006

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Abstract

We introduce a data processing pipeline designed to generate registration markers from range scan data. This approach uses curvature maps and histogram-templates to identify local surface features. The noise associated with real-world scans is addressed using a (common) Gauss filter and expansion-segmentation. Experimental results are presented for data from The Digital Michelangelo Project.