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Iwasawa decomposition: a new approach to 2D affine registration problem

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Abstract

In this paper, 2D affine registration problem was studied. First, combining with the procedure of traditional iterative closest point method, the registration problem was modeled as an optimization problem on Lie group \(GL(2,{\mathfrak{R}})\). To assure the registration non-degenerate, some reasonable constraints were introduced into the model by Iwasawa decomposition. Then, a series of quadratic programming were used to approximate the registration problem and a novel affine registration algorithm was proposed. At last, several illustration and comparison experiments were presented to demonstrate the performance and efficiency of the proposed algorithm. Particularly, a way of selecting a good initial registration based on ICA method to achieve the global minimum was suggested.

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References

  1. Baker A (2003) Matrix groups: an introduction to Lie group theory. Springer, New York

    Google Scholar 

  2. Barber CB, Dobkin DP, Huhdanpaa H (1996) The quickhull algorithm for convex hulls. ACM Trans Math Softw 22(4):469–483

    Article  MathSciNet  MATH  Google Scholar 

  3. Besl PJ, McKay ND (1992) A mehtod for registration of 3-D shapes. IEEE Trans Pattern Anal Mach Intell 14(2):239–256

    Article  Google Scholar 

  4. Chen Y, Medioni G (1991) Object modeling by registration of multiple range image. Proc IEEE Int Conf Robot Autom 3:2724–2729

    Article  Google Scholar 

  5. Droske M, Rumpf M (2004) A variational approach to nonrigid morphological image registration. SIAM J Appl Math 64(2):668–687

    Article  MathSciNet  MATH  Google Scholar 

  6. Du SY, Zheng NN, Meng GF, Yuan ZJ (2008) Affine registration of point sets using ICP and ICA. IEEE Signal Process Lett 15:689–692

    Article  Google Scholar 

  7. Feldmar J, Ayache N (1996) Rigid, affine and locally affine registration of free-form surfaces. Int J Comput Vis 18(2):99–119

    Article  Google Scholar 

  8. Grenander U, Miller MI, Srivastava A (1998) Hilbert-Schmidt lower bounds for estimators on matrix Lie groups for ATR. IEEE Trans Pattern Anal Mach Intell 20(8):790–802

    Article  Google Scholar 

  9. Ho J, Yang MH, Rangarajan A, Vemuri B (2007) A new affine registration algorithm for matching 2D point sets. In: IEEE workshop on applications of computer vision

  10. Chui H, Rangarajan A (2003) A new point matching algorithm for non-rigid registration. Comput Vis Image Unders 89:114–141

    Article  MATH  Google Scholar 

  11. Helgason S (2001) Differential geometry, Lie groups and symmetric space. Academic Press, New York

    Google Scholar 

  12. Holden M (2008) A review of geometric transformations for nonrigid body registration. IEEE Trans Medical Imaging 27(1):111–128

    Article  Google Scholar 

  13. Kanatani K (1990) Group-theoretical methods in imaging understanding. Springer, New York

    Google Scholar 

  14. Lee TW (1998) Independent component analysis: theory and applications. Kluwer, Boston

    MATH  Google Scholar 

  15. Ma Y (2000) A differential geometric approach to computer vision and its applications in control. PhD thesis, University of California, Berkeley

  16. Ma Y, Kosecka J, Sastry SS (2000) Linear differential algorithm for motion recovery: a geometric approach. Int J Comput Vis 36(1):71–89

    Article  Google Scholar 

  17. Ma Y, Kosecka J, Sastry SS (2004) A differential geometric approach to multiple view geometry in space of constant curvature. Int J Comput Vis 58(1):37–53

    Article  Google Scholar 

  18. Paragios N, Rousson M, Ramesh V (2003) Non-rigid registration using distance functions. Comput Vis Image Unders 89:142–165

    Article  MATH  Google Scholar 

  19. Yang GH, Stewart CV, Sofka M, Tsai CL (2007) Registration of challenging image pairs: initialization, estimation, and decision. IEEE Trans Pattern Anal Mach Intell 29(11):1973–1989

    Article  Google Scholar 

  20. Ying SH, Peng JG, Du SY, Qiao H (2009) Lie group framework for the iterative closest point algorithm in n-D data registration. Int J Partten Recognit Artif Intell 23(6):1201–1220

    Article  Google Scholar 

  21. Ying SH, Peng JG, Du SY, Qiao H (2009) A scale stretch method based on ICP for 3D data registration. IEEE Trans Autom Sci Eng 6(3):559–565

    Article  Google Scholar 

  22. Zha HB, Ikuta M, Hasegawa T (2000) Registration of range images with different scanning resolutions. In: IEEE international conference on systems, man, and cybernetics, pp 1495–1500

  23. Zhang Z (1994) Iterative point matching of free-from curves and surfaces. Int J Comput Vis 13(2):119–152

    Article  Google Scholar 

  24. Zheng NN, You QB, Meng GF, Zhu JH, Du SY, Liu JY (2008) 50 years of image processing and pattern recognition in China. IEEE Intell Syst 23(6):33–41

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to thank the editor and the anonymous reviewers for their helpful comments and suggestions. The research is supported by NSFC (61005002), Shanghai Leading Academic Discipline Project (S30104) and the Excellent Young Teachers Program of Shanghai (B.37-0101-08-008).

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Correspondence to Shihui Ying.

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Ying, S., Peng, Y. & Wen, Z. Iwasawa decomposition: a new approach to 2D affine registration problem. Pattern Anal Applic 14, 127–137 (2011). https://doi.org/10.1007/s10044-010-0193-7

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  • DOI: https://doi.org/10.1007/s10044-010-0193-7

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