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Three-dimensional surface mesh segmentation using curvedness-based region growing approach.

Anupama Jagannathan1, Eric L Miller

  • 1Motorola Inc., Anaheim, CA 92807, USA. ajaganna@ieee.org

IEEE Transactions on Pattern Analysis and Machine Intelligence
|October 16, 2007
PubMed
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This study introduces a novel parameter-free algorithm for 3D mesh segmentation. The method effectively partitions complex objects into distinct parts based on vertex curvedness, offering robust and efficient segmentation.

Area of Science:

  • Computer Graphics
  • Computational Geometry
  • 3D Modeling

Background:

  • 3D mesh segmentation is crucial for analyzing and manipulating complex objects.
  • Existing methods often require parameter tuning or struggle with intricate shapes.

Purpose of the Study:

  • To develop a parameter-free algorithm for segmenting 3D triangular meshes into physically meaningful parts.
  • To improve the robustness and efficiency of mesh segmentation.

Main Methods:

  • A novel graph morphology-based approach was employed.
  • Curvedness, a rotation and translation invariant descriptor, was computed for each vertex.
  • Iterative graph dilation and morphological filtering were used to group vertices with similar curvedness.

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Main Results:

  • The algorithm successfully partitioned complex 3D objects into disjoint sub-meshes.
  • Segmentation accuracy was validated through experimental evaluations.
  • The proposed method demonstrated comparable or superior performance to state-of-the-art algorithms.

Conclusions:

  • The parameter-free graph morphology algorithm provides an effective solution for 3D mesh segmentation.
  • The method's reliance on curvedness ensures robustness across various object complexities.
  • This approach offers a significant advancement in automated mesh partitioning.