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Semidefinite Programming Heuristics for Surface Reconstruction Ambiguities

Ady Ecker, Allan D. Jepson, Kiriakos N. Kutulakos
ECCV 2008 pp. 127-140
doi:10.1007/978-3-540-88682-2_11 /eccv/2008/ecker2008eccv-semidefinite/

Abstract

We consider the problem of reconstructing a smooth surface under constraints that have discrete ambiguities. These problems arise in areas such as shape from texture, shape from shading, photometric stereo and shape from defocus. While the problem is computationally hard, heuristics based on semidefinite programming may reveal the shape of the surface.

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Text

Ecker et al. "Semidefinite Programming Heuristics for Surface Reconstruction Ambiguities." European Conference on Computer Vision, 2008. doi:10.1007/978-3-540-88682-2_11

Markdown

[Ecker et al. "Semidefinite Programming Heuristics for Surface Reconstruction Ambiguities." European Conference on Computer Vision, 2008.](https://mlanthology.org/eccv/2008/ecker2008eccv-semidefinite/) doi:10.1007/978-3-540-88682-2_11

BibTeX

@inproceedings{ecker2008eccv-semidefinite,
  title     = {{Semidefinite Programming Heuristics for Surface Reconstruction Ambiguities}},
  author    = {Ecker, Ady and Jepson, Allan D. and Kutulakos, Kiriakos N.},
  booktitle = {European Conference on Computer Vision},
  year      = {2008},
  pages     = {127-140},
  doi       = {10.1007/978-3-540-88682-2_11},
  url       = {https://mlanthology.org/eccv/2008/ecker2008eccv-semidefinite/}
}