3D Surface Topography from Intensity Images

Abstract

The paper demonstrates how a new shape from shading scheme can be used to extract topographic information from 2D intensity imagery. The shape-from-shading scheme has two novel ingredients. Firstly, it uses a geometric update procedure which allows the image irradiance equation to be satisfied as a hard constraint. This not only improves the data closeness of the recovered needle-map, but also removes the necessity for extensive parameter tuning. Secondly, we use curvature information to impose topographic constraints on the recovered needle-map. The topographic information is captured using the shape index of J.J. Koenderink and A.J. Van Doorn (1995) and consistency is imposed using a robust error function. We show that the new shape-from-shading scheme leads to a meaningful topographic labelling of 3D surface structures.

Cite

Text

Worthington and Hancock. "3D Surface Topography from Intensity Images." IEEE/CVF International Conference on Computer Vision, 1999. doi:10.1109/ICCV.1999.790319

Markdown

[Worthington and Hancock. "3D Surface Topography from Intensity Images." IEEE/CVF International Conference on Computer Vision, 1999.](https://mlanthology.org/iccv/1999/worthington1999iccv-d/) doi:10.1109/ICCV.1999.790319

BibTeX

@inproceedings{worthington1999iccv-d,
  title     = {{3D Surface Topography from Intensity Images}},
  author    = {Worthington, Philip L. and Hancock, Edwin R.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1999},
  pages     = {911-917},
  doi       = {10.1109/ICCV.1999.790319},
  url       = {https://mlanthology.org/iccv/1999/worthington1999iccv-d/}
}