ML Anthology

Edge Classification and Depth Reconstruction by Fusion of Range and Intensity Edge Data

Guanghua Zhang, Andrew M. Wallace
ECCV 1992 pp. 744-748
doi:10.1007/3-540-55426-2_84 /eccv/1992/zhang1992eccv-edge/

Abstract

We present an approach to the semantic labelling of edges and reconstruction of range data by the fusion of registered range and intensity data. This is achieved by using Bayesian estimation within coupled Markov Random Fields (MRF) employing the constraints of surface smoothness and edge continuity.

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Cite

Text

Zhang and Wallace. "Edge Classification and Depth Reconstruction by Fusion of Range and Intensity Edge Data." European Conference on Computer Vision, 1992. doi:10.1007/3-540-55426-2_84

Markdown

[Zhang and Wallace. "Edge Classification and Depth Reconstruction by Fusion of Range and Intensity Edge Data." European Conference on Computer Vision, 1992.](https://mlanthology.org/eccv/1992/zhang1992eccv-edge/) doi:10.1007/3-540-55426-2_84

BibTeX

@inproceedings{zhang1992eccv-edge,
  title     = {{Edge Classification and Depth Reconstruction by Fusion of Range and Intensity Edge Data}},
  author    = {Zhang, Guanghua and Wallace, Andrew M.},
  booktitle = {European Conference on Computer Vision},
  year      = {1992},
  pages     = {744-748},
  doi       = {10.1007/3-540-55426-2_84},
  url       = {https://mlanthology.org/eccv/1992/zhang1992eccv-edge/}
}