ML Anthology

Detection of Buildings Using Perceptual Grouping and Shadows

Chungan Lin, Andres Huertas, Ramakant Nevatia
CVPR 1994 pp. 62-69
doi:10.1109/CVPR.1994.323811 /cvpr/1994/lin1994cvpr-detection/

Abstract

We describe a system for detection and description of buildings in aerial scenes. This is a difficult task as the aerial images contain a variety of objects. Low-level segmentation processes give highly fragmented segments due to a number of reasons. We use a perceptual grouping approach to collect these fragments and discard those that come from other sources. We use shape properties of the buildings for this. We use shadows to help form and verify the hypotheses generated by the grouping process. This latter step also provides 3-D descriptions of the buildings. Our system has been tested on a number of examples and is able to work with overhead or oblique views.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

CVPR Semantic Scholar

Cite

Text

Lin et al. "Detection of Buildings Using Perceptual Grouping and Shadows." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323811

Markdown

[Lin et al. "Detection of Buildings Using Perceptual Grouping and Shadows." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/lin1994cvpr-detection/) doi:10.1109/CVPR.1994.323811

BibTeX

@inproceedings{lin1994cvpr-detection,
  title     = {{Detection of Buildings Using Perceptual Grouping and Shadows}},
  author    = {Lin, Chungan and Huertas, Andres and Nevatia, Ramakant},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {62-69},
  doi       = {10.1109/CVPR.1994.323811},
  url       = {https://mlanthology.org/cvpr/1994/lin1994cvpr-detection/}
}