Elastic Alignment of Triangular Surface Meshes

A novel region-based approach is proposed to find a thin plate spline map between a pair of deformable 3D objects represented by triangular surface meshes. The proposed method works without landmark extraction and feature correspondences. The aligning transformation is simply found by solving a syst...

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Published inInternational journal of computer vision Vol. 126; no. 11; pp. 1220 - 1244
Main Authors Sánta, Zsolt, Kato, Zoltan
Format Journal Article
LanguageEnglish
Published New York Springer US 01.11.2018
Springer
Springer Nature B.V
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ISSN0920-5691
1573-1405
DOI10.1007/s11263-018-1084-4

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Abstract A novel region-based approach is proposed to find a thin plate spline map between a pair of deformable 3D objects represented by triangular surface meshes. The proposed method works without landmark extraction and feature correspondences. The aligning transformation is simply found by solving a system of integral equations. Each equation is generated by integrating a non-linear function over the object domains. We derive recursive formulas for the efficient computation of these integrals for open and closed surface meshes. Based on a series of comparative tests on a large synthetic dataset, our triangular mesh-based algorithm outperforms state of the art methods both in terms of computing time and accuracy. The applicability of the proposed approach has been demonstrated on the registration of 3D lung CT volumes, brain surfaces and 3D human faces.
AbstractList A novel region-based approach is proposed to find a thin plate spline map between a pair of deformable 3D objects represented by triangular surface meshes. The proposed method works without landmark extraction and feature correspondences. The aligning transformation is simply found by solving a system of integral equations. Each equation is generated by integrating a non-linear function over the object domains. We derive recursive formulas for the efficient computation of these integrals for open and closed surface meshes. Based on a series of comparative tests on a large synthetic dataset, our triangular mesh-based algorithm outperforms state of the art methods both in terms of computing time and accuracy. The applicability of the proposed approach has been demonstrated on the registration of 3D lung CT volumes, brain surfaces and 3D human faces.
Audience Academic
Author Sánta, Zsolt
Kato, Zoltan
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  surname: Kato
  fullname: Kato, Zoltan
  email: kato@inf.u-szeged.hu
  organization: Department of Mathematics and Informatics, J. Selye University
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Issue 11
Keywords Elastic alignment
Correspondence-less registration
Triangular surface mesh
Thin plate spline
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SubjectTerms Artificial Intelligence
Brain
Computational efficiency
Computer graphics
Computer Imaging
Computer Science
Computing time
Deformation
Feature extraction
Formability
Image Processing and Computer Vision
Integral equations
Linear functions
Pattern Recognition
Pattern Recognition and Graphics
Thin plates
Vision
Vision systems
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Title Elastic Alignment of Triangular Surface Meshes
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