ML Anthology

Synergistic Smooth Surface Stereo

Terrance E. Boult, Liang-Hua Chen
ICCV 1988 pp. 118-122
doi:10.1109/CCV.1988.589980 /iccv/1988/boult1988iccv-synergistic/

Abstract

This paper presents a new algorithm for stereo matching. The algo- rithm combines what are generally three processes, feature matching, surface reconstruction, and segmentation of world surfaces, in a consis- tent and synergistic way. By integrating these phases, which are usually sequential, the algorithm can make use of the current surface approxi- mation to disambiguate potential matches. This results in higher data densities, a consistency of interpretation, and greater system flexibility. Examples of the algorithm are presented on real and synthetic images, including a scene with a transparent surface.

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Cite

Text

Boult and Chen. "Synergistic Smooth Surface Stereo." IEEE/CVF International Conference on Computer Vision, 1988. doi:10.1109/CCV.1988.589980

Markdown

[Boult and Chen. "Synergistic Smooth Surface Stereo." IEEE/CVF International Conference on Computer Vision, 1988.](https://mlanthology.org/iccv/1988/boult1988iccv-synergistic/) doi:10.1109/CCV.1988.589980

BibTeX

@inproceedings{boult1988iccv-synergistic,
  title     = {{Synergistic Smooth Surface Stereo}},
  author    = {Boult, Terrance E. and Chen, Liang-Hua},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1988},
  pages     = {118-122},
  doi       = {10.1109/CCV.1988.589980},
  url       = {https://mlanthology.org/iccv/1988/boult1988iccv-synergistic/}
}