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A Hierarchical Method for 3D Rigid Motion Estimation

  • Thitiwan Srinark
  • Chandra Kambhamettu
  • Maureen Stone
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3852)

Abstract

We propose a hierarchical method for 3D rigid motion estimation between two 3D data sets of objects represented by triangular meshes. Multiresolution surfaces are generated from the original surface of each object. These surfaces are decomposed into small patches based on estimated geodesic distance and curvature information. In our method, segment-to-segment matching to recover rigid motions at each resolution level of surfaces is performed. Motion results from low resolution surface matching are propagated to higher resolution surface matching in order to generate a spatial constraint for similar segment selection. Our approach can recover 3D rigid motion of both rigid body and nonrigid body (with partial rigid areas). The method was tested to estimate rigid motions of 3D data obtained by the Cyberware scanner.

Keywords

Error Function Geodesic Distance Iterative Close Point Rigid Motion Rigid Transformation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Thitiwan Srinark
    • 1
  • Chandra Kambhamettu
    • 2
  • Maureen Stone
    • 3
  1. 1.Department of Computer Engineering, Faculty of EngineeringKasetsart UniversityBangkokThailand
  2. 2.Department of Computer & Information SciencesUniversity of DelawareNewarkUSA
  3. 3.Dept of Biomedical Sciences and Orthodontics, Vocal Tract Visualization LabUniversity of Maryland Dental SchoolBaltimoreUSA

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