A frequency domain method for registration of range data

Cortelazzo, G. M., Doretto, G., Lucchese, L., and Totaro, S.
A frequency domain method for registration of range data
In Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp. 518–521, Monterey, CA, USA, May 31--June 3, 1998.

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Abstract

Free-form 3-D surfaces registration is a fundamental problem in 3-D imaging, typically approached by extensions or variations of the ICP algorithm. This work presents an alternative method for 3-D motion estimation based on the Fourier transform of the range data. The frequency domain techniques for estimating motion parameters are nonfeature-based methods suitable for unsupervised registration of 3-D views. The proposed method can give unsupervised registration of range data within 1° of accuracy of the angular parameters, useful “per se” in applications where this kind of precision is adequate or which can serve as good starting point for the ICP algorithm when a higher precision is needed

BibTeX

@InProceedings{cortelazzoDLT98iscas,
  Title                    = {A frequency domain method for registration of range data},
  Author                   = {Cortelazzo, G. M. and Doretto, G. and Lucchese, L. and Totaro, S.},
  Booktitle                = iscas,
  Year                     = {1998},
  Address                  = {Monterey, CA, USA},
  Month                    = {May 31--June 3,},
  Pages                    = {518--521},
  Volume                   = {5},
  Abstract                 = {Free-form 3-D surfaces registration is a fundamental problem in 3-D imaging, typically approached by extensions or variations of the ICP algorithm. This work presents an alternative method for 3-D motion estimation based on the Fourier transform of the range data. The frequency domain techniques for estimating motion parameters are nonfeature-based methods suitable for unsupervised registration of 3-D views. The proposed method can give unsupervised registration of range data within 1° of accuracy of the angular parameters, useful “per se” in applications where this kind of precision is adequate or which can serve as good starting point for the ICP algorithm when a higher precision is needed},
  Bib2html_pubtype         = {Refereed Conferences},
  Bib2html_rescat          = {3D Object Modeling},
  Doi                      = {10.1109/ISCAS.1998.694546},
  File                     = {cortelazzoDLT98iscas.pdf:doretto\\conference\\cortelazzoDLT98iscas.pdf:PDF;cortelazzoDLT98iscas.pdf:doretto\\conference\\cortelazzoDLT98iscas.pdf:PDF},
  Keywords                 = {Fourier transforms, frequency-domain analysis, motion estimation},
  Owner                    = {doretto},
  Timestamp                = {2007.01.19}
}