Isotropic scaling iterative closest point algorithm for partial registration

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Isotropic scaling iterative closest point algorithm for partial registration

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© The Institution of Engineering and Technology
Published

The problem of partial registration of isotropic scaling point sets with outliers including noises and missing data is discussed. To solve this problem, a novel objective function based on bidirectional distance is proposed by introducing an overlapping percentage and a scale factor. Furthermore, a novel isotropic scaling iterative closest point (ICP) algorithm is proposed which can compute the scale transformation, the correspondence and the overlapping percentage automatically at each iterative step. Experimental results demonstrate that the algorithm is more robust and precise than the traditional ICP and the state-of-the-art algorithms.

Inspec keywords: image registration; iterative methods

Other keywords: partial registration; isotropic scaling point sets; bidirectional distance; overlapping percentage; scale factor; isotropic scaling iterative closest point algorithm

Subjects: Interpolation and function approximation (numerical analysis); Computer vision and image processing techniques; Interpolation and function approximation (numerical analysis); Optical, image and video signal processing

References

    1. 1)
      • Latecki, L.J., Lakamper, R., Eckhardt, T.: `Shape descriptors for non-rigid shapes with a single closed contour', Proc. IEEE Conf. on Computer Vision and Pattern Recognition, (CVPR), 2000, Hilton Head Island, SC, USA, p. 424–429.
    2. 2)
    3. 3)
      • Du, S.Y., Zheng, N.N., Ying, S.H., Wei, J.S.: `ICP with bounded scale for registration of m-D point sets', Proc. IEEE Int. Conf. on Multimedia and Expo, (ICME), 2007, Beijing, China, p. 1291–1294.
    4. 4)
      • Phillips, J.M., Ran, L., Tomasi, C.: `Outlier robust ICP for minimizing fractional RMSD', Proc. 6th Int. Conf. on 3-D Digital Imaging and Modeling, (3DIM), 2007, Montreal, Canada, p. 427–434.
    5. 5)
    6. 6)
      • http://graphics.stanford.edu/data/3Dscanrep/.
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