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.
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Rugis, J., Klette, R. (2006). Surface Registration Markers from Range Scan Data. In: Reulke, R., Eckardt, U., Flach, B., Knauer, U., Polthier, K. (eds) Combinatorial Image Analysis. IWCIA 2006. Lecture Notes in Computer Science, vol 4040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774938_34
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DOI: https://doi.org/10.1007/11774938_34
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