Shape Matching Based on Fully Automatic Face Detection on Triangular Meshes

  • Wolfram von Funck
  • Holger Theisel
  • Hans-Peter Seidel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4035)


This paper tackles a particular shape matching problem: given a data base of shapes (described as triangular meshes), we search for all shapes which describe a human. We do so by applying a 3D face detection approach on the mesh which consists of three steps: first, a local symmetry value is computed for each vertex. Then, the symmetry values in a certain neighborhood of each vertex are analyzed for building sharp symmetry lines. Finally, the geometry around each vertex is analyzed to get further facial features like nose and forehead. We tested our approach with several shape data bases (e.g. the Princeton Shape Benchmark) and achieved high rates of correct face detection.


Face Recognition Face Detection Triangular Mesh Shape Match Symmetry Detection 
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

  • Wolfram von Funck
    • 1
  • Holger Theisel
    • 1
  • Hans-Peter Seidel
    • 1
  1. 1.MPI InformatikSaarbrueckenGermany

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