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Point-Based Registration with Known Correspondence: Closed Form Optimal Solutions and Properties

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Book cover Biomedical Image Registration (WBIR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4057))

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Abstract

Point-based registration with known correspondence is often used as either a stand-alone method or a part of a more complex algorithm. The goal of this type of registration is to align two sets of points with the same number of corresponding points using a selected transformation type. Presented are closed form solutions for the transformation parameters that optimally align two point sets in the least squares sense for the following transformation types: rigid, similarity, rigid with nonuniform scales, and a linear combination of basis functions. It is shown that those registration methods whose underlying transformations form a group satisfy the identity, symmetry, transitivity, and distortion properties.

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References

  1. Arun, K.S., Huang, T.S., Blostein, S.D.: Least-squares fitting of two 3-d point sets. IEEE Transactions on Pattern Analysis and Machine Intelligence 9, 698–700 (1987)

    Article  Google Scholar 

  2. Umeyama, S.: Least-squares estimation of transformation parameters between two point sets. IEEE Transactions on Pattern Analysis and Machine Intelligence 13, 376–380 (1991)

    Article  Google Scholar 

  3. Bronshtein, I.N., Semendyayev, K.A.: Handbook of Mathematics, 3rd edn. Springer, Berlin (1998)

    Google Scholar 

  4. Christensen, G.E., Johnson, H.J.: Consistent image registration. IEEE Transactions on Medical Imaging 20, 568–582 (2001)

    Article  Google Scholar 

  5. Bookstein, F.L.: Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Transactions on Pattern Analysis and Machine Intelligence 11, 567–585 (1989)

    Article  MATH  Google Scholar 

  6. Rueckert, D., et al.: Nonrigid registration using free-form deformations: applications to breast mr images. IEEE Transactions on Medical Imaging 18, 712–721 (1999)

    Article  Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Škrinjar, O. (2006). Point-Based Registration with Known Correspondence: Closed Form Optimal Solutions and Properties. In: Pluim, J.P.W., Likar, B., Gerritsen, F.A. (eds) Biomedical Image Registration. WBIR 2006. Lecture Notes in Computer Science, vol 4057. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11784012_38

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  • DOI: https://doi.org/10.1007/11784012_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35648-6

  • Online ISBN: 978-3-540-35649-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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