3D Surface Matching and Registration through Shape Images

  • Zhaoqiang Lai
  • Jing Hua
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5242)


In this paper, we present a novel and efficient surface matching framework through shape image representation. This representation allows us to simplify a 3D surface matching problem to a 2D shape image matching problem. Furthermore, we present a shape image diffusion-based method to find the most robust features to construct the matching and registration of surfaces. This is particularly important for inter-subject surfaces from medical scans of different subjects since these surfaces exhibit the inherited physiological variances among subjects. We conducted extensive experiments on real 3D human neocortical surfaces, which demonstrate the excellent performance of our approach in terms of accuracy and robustness.


Surface Matching Conformal Map Shape Image 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Zhaoqiang Lai
    • 1
  • Jing Hua
    • 1
  1. 1.Department of Computer ScienceWayne State UniversityDetroitUSA

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