Surface Reconstruction from Feature Based Stereo

Taylor, Camillo J.

doi:10.1109/ICCV.2003.1238338

Surface Reconstruction from Feature Based Stereo

Camillo J. Taylor

ICCV 2003 pp. 184-190

doi:10.1109/ICCV.2003.1238338 /iccv/2003/taylor2003iccv-surface/

Abstract

This paper describes an approach to recovering surface models of complex scenes from the quasi-sparse data returned by a feature based stereo system. The method can be used to merge stereo results obtained from different viewpoints into a single coherent surface mesh. The technique proceeds by exploiting the freespace theorem which provides a principled mechanism for reasoning about the structure of the scene based on quasi-sparse correspondences in multiple image. Effective methods for overcoming the difficulties posed by missing features and outliers are discussed. Results obtained by applying this approach to actual images are presented. 1

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Text

Taylor. "Surface Reconstruction from Feature Based Stereo." IEEE/CVF International Conference on Computer Vision, 2003. doi:10.1109/ICCV.2003.1238338

Markdown

[Taylor. "Surface Reconstruction from Feature Based Stereo." IEEE/CVF International Conference on Computer Vision, 2003.](https://mlanthology.org/iccv/2003/taylor2003iccv-surface/) doi:10.1109/ICCV.2003.1238338

BibTeX

@inproceedings{taylor2003iccv-surface,
  title     = {{Surface Reconstruction from Feature Based Stereo}},
  author    = {Taylor, Camillo J.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2003},
  pages     = {184-190},
  doi       = {10.1109/ICCV.2003.1238338},
  url       = {https://mlanthology.org/iccv/2003/taylor2003iccv-surface/}
}