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Posture Invariant Correspondence of Triangular Meshes in Shape Space

Stefanie Wuhrer, Chang Shu, Prosenjit Bose
ICCVW 2009 pp. 1574-1581
doi:10.1109/ICCVW.2009.5457426 /iccvw/2009/wuhrer2009iccvw-posture/

Abstract

We find dense point-to-point correspondences between two surfaces corresponding to different postures of the same articulated object in a fully automatic way. The approach requires no prior knowledge about the shapes being registered. Furthermore, the approach does not require any user-specified parameters. We register possibly incomplete triangular meshes. We model the deformations of an object as isometries and solve the correspondence problem by aligning the intrinsic geometries of the manifolds in a suitable space. We apply the technique to segment the surface into near-rigid components.

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Text

Wuhrer et al. "Posture Invariant Correspondence of Triangular Meshes in Shape Space." IEEE/CVF International Conference on Computer Vision Workshops, 2009. doi:10.1109/ICCVW.2009.5457426

Markdown

[Wuhrer et al. "Posture Invariant Correspondence of Triangular Meshes in Shape Space." IEEE/CVF International Conference on Computer Vision Workshops, 2009.](https://mlanthology.org/iccvw/2009/wuhrer2009iccvw-posture/) doi:10.1109/ICCVW.2009.5457426

BibTeX

@inproceedings{wuhrer2009iccvw-posture,
  title     = {{Posture Invariant Correspondence of Triangular Meshes in Shape Space}},
  author    = {Wuhrer, Stefanie and Shu, Chang and Bose, Prosenjit},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2009},
  pages     = {1574-1581},
  doi       = {10.1109/ICCVW.2009.5457426},
  url       = {https://mlanthology.org/iccvw/2009/wuhrer2009iccvw-posture/}
}