Efficient reconstruction of nonrigid shape and motion from real-time 3D scanner data

@article{Wand2009EfficientRO,
  title={Efficient reconstruction of nonrigid shape and motion from real-time 3D scanner data},
  author={Michael Wand and Bart Adams and Maks Ovsjanikov and Alexander Berner and Martin Bokeloh and Philipp Jenke and Leonidas J. Guibas and Hans-Peter Seidel and Andreas Schilling},
  journal={ACM Trans. Graph.},
  year={2009},
  volume={28},
  pages={15:1-15:15}
}
We present a new technique for reconstructing a single shape and its nonrigid motion from 3D scanning data. Our algorithm takes a set of time-varying unstructured sample points that capture partial views of a deforming object as input and reconstructs a single shape and a deformation field that fit the data. This representation yields dense correspondences for the whole sequence, as well as a completed 3D shape in every frame. In addition, the algorithm automatically removes spatial and… CONTINUE READING
Highly Cited
This paper has 169 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.
95 Citations
4 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 95 extracted citations

170 Citations

01020'09'11'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 170 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-4 of 4 references

A Computational Framework for Segmentation and Grouping

  • G. Medioni, M. S. Lee, C. K. Tang
  • 2000
Highly Influential
2 Excerpts

Similar Papers

Loading similar papers…