3D PHASE CORRELATION USING NON-UNIFORM CYLINDRICAL SAMPLING

Jakub Bican, Jan Flusser

2009

Abstract

A Phase Correlation Method (PCM) is a well known and effective strategy for 2D image registration. Earlier we presented a derived method called Cylindrical Phase Correlation Method (CPCM) which belongs among many improvements and applications of PCM published by other authors. CPCM utilizes the effective and robust approach of PCM for a 3D image rigid registration task in an iterative optimization procedure. In this paper, the improvement to the rotation estimation step based on the non-uniform sampling in the cylindrical coordinate system is described in detail. Experimental results are provided both for the original and improved version of the rotation estimation algorithm as well as the results of the final method and its comparison to reference methods.

References

  1. Baker, M. (1998-2007). www.euclideanspace.com: Maths - rotations.
  2. Bican, J. and Flusser, J. (2007). Cylindrical phase correlation method. In Kropatsch, W. G., Kampel, M., and Hanbury, A., editors, Computer Analysis of Images and Patterns, 12th International Conference, CAIP 2007, Vienna, Austria, August 27-29, 2007, Proceedings, volume 4673 of Lecture Notes in Computer Science, pages 751-758. Springer.
  3. Collins, D. L., Zijdenbos, A. P., Kollokian, V., Sled, J. G., Kabani, N. J., Holmes, C. J., and Evans, A. C. (1998). Design and construction of a realistic digital brain phantom. IEEE Trans Med Imaging, 17(3):463-468.
  4. De Castro, E. and Morandi, C. (1987). Registration of translated and rotated images using finite Fourier transform. IEEE Trans. Pattern Analysis and Machine Intelligence, 9(5):700-703.
  5. Keller, Y., Shkolnisky, Y., and Averbuch, A. (2006). Volume registration using the 3-D pseudopolar Fourier transform. IEEE Trans. Image Processing, 54(11):4323- 4331.
  6. Kuglin, C. and Hines, D. (1975). The phase correlation image alignment method. In Proc. Int. Conf. on Cybernetics and Society, pages 163-165. IEEE.
  7. Press, W., Flannery, B., Teukolsky, S., and Vetterling, W. (1992). Numerical Recipes in C. Cambridge University Press, second edition.
  8. Reddy, B. and Chatterji, B. (1996). An fft-based technique for translation, rotation, and scale-invariant image registration. IEEE Trans. Image Processing, 5(8):1266- 1271.
  9. Zitová, B. and Flusser, J. (2003). Image registration methods: a survey. Image and Vision Computing, 21(11):977-1000.
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Paper Citation


in Harvard Style

Bican J. and Flusser J. (2009). 3D PHASE CORRELATION USING NON-UNIFORM CYLINDRICAL SAMPLING . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 254-258. DOI: 10.5220/0001792502540258


in Bibtex Style

@conference{visapp09,
author={Jakub Bican and Jan Flusser},
title={3D PHASE CORRELATION USING NON-UNIFORM CYLINDRICAL SAMPLING},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={254-258},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001792502540258},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - 3D PHASE CORRELATION USING NON-UNIFORM CYLINDRICAL SAMPLING
SN - 978-989-8111-69-2
AU - Bican J.
AU - Flusser J.
PY - 2009
SP - 254
EP - 258
DO - 10.5220/0001792502540258