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Projective and Object Space Geometry for Monocular Building Extraction

J. Chris McGlone, Jefferey A. Shufelt
CVPR 1994 pp. 54-61
doi:10.1109/CVPR.1994.323810 /cvpr/1994/mcglone1994cvpr-projective/

Abstract

Knowledge about the imaging geometry and acquisition parameters provides useful geometric constraints for the analysis and extraction of man-made features in aerial imagery, particularly in oblique views. We discuss the identification of horizontal and vertical lines in the scene, using image orientation information and vanishing point calculations, and the calculation of their dimensions. The vertical and horizontal attributions are used to constrain the set of possible building hypotheses, and vertical lines are extracted at corners to estimate structure height and permit the generation of three-dimensional building models from monocular views. Results of these techniques are presented for nadir and oblique imagery and evaluated against manually generated 3D ground truth building models.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

McGlone and Shufelt. "Projective and Object Space Geometry for Monocular Building Extraction." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323810

Markdown

[McGlone and Shufelt. "Projective and Object Space Geometry for Monocular Building Extraction." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/mcglone1994cvpr-projective/) doi:10.1109/CVPR.1994.323810

BibTeX

@inproceedings{mcglone1994cvpr-projective,
  title     = {{Projective and Object Space Geometry for Monocular Building Extraction}},
  author    = {McGlone, J. Chris and Shufelt, Jefferey A.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {54-61},
  doi       = {10.1109/CVPR.1994.323810},
  url       = {https://mlanthology.org/cvpr/1994/mcglone1994cvpr-projective/}
}