Summary
We consider a problem of interest point detection, i.e. location of points with standing out neighborhood, for a 3D mesh data. Our research is motivated by the need of general, robust characterization of a complexity of the mesh fragment, to be used for mesh segmentation and description methods. We analyze the reasoning behind traditional Harris operator for 2D images [4] and propose several possible extensions to 3D data. We investigate their performance on several sets of data obtained with laser digitizer.
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Głomb, P. (2009). Detection of Interest Points on 3D Data: Extending the Harris Operator. In: Kurzynski, M., Wozniak, M. (eds) Computer Recognition Systems 3. Advances in Intelligent and Soft Computing, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93905-4_13
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DOI: https://doi.org/10.1007/978-3-540-93905-4_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-93904-7
Online ISBN: 978-3-540-93905-4
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