ML Anthology

Automatic Description of Buildings with Complex Rooftops from Multiple Images

Zu Whan Kim, Andres Huertas, Ramakant Nevatia
CVPR 2001 pp. II:272-
doi:10.1109/CVPR.2001.990971 /cvpr/2001/kim2001cvpr-automatic/

Abstract

We present a model-based approach to detecting and describing compositions of buildings with complex rooftops. Previous approaches have dealt with either simpler models or models which lack geometric information. In spite of increasing model complexity, we maintain the computation affordable by effectively using multiple overlapping images. We obtain rooftop hypotheses in 3-D by using 3-D lines and junctions generated from multiple images. Image-derived unedited elevation data is used to assist feature matching, and to generate rough cues of the presence of 3-D structures. Experimental results are shown on complex buildings.

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Cite

Text

Kim et al. "Automatic Description of Buildings with Complex Rooftops from Multiple Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001. doi:10.1109/CVPR.2001.990971

Markdown

[Kim et al. "Automatic Description of Buildings with Complex Rooftops from Multiple Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001.](https://mlanthology.org/cvpr/2001/kim2001cvpr-automatic/) doi:10.1109/CVPR.2001.990971

BibTeX

@inproceedings{kim2001cvpr-automatic,
  title     = {{Automatic Description of Buildings with Complex Rooftops from Multiple Images}},
  author    = {Kim, Zu Whan and Huertas, Andres and Nevatia, Ramakant},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2001},
  pages     = {II:272-},
  doi       = {10.1109/CVPR.2001.990971},
  url       = {https://mlanthology.org/cvpr/2001/kim2001cvpr-automatic/}
}