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Carnegie Mellon Robotics Institute

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Abstract

A new method for extracting planar polygonal rooftops in monocular aerial imagery is proposed. Structural features are extracted and hierarchically related using perceptual grouping techniques. Top-down feature verification is used so that features, and links between the features, are verified with local information in the image and weighed in a graph. Cycles in the graph correspond to possible building rooftop hypotheses. Virtual features are hypothesized for the perceptual completion of partially occluded rooftops. Extraction of the "best" grouping features into a building rooftop hypothesis is posed as a graph search problem. The maximally weighted, independent set of cycles in the graph is extracted as the final set of roof boundaries.

Notes

Note: Also, Arpa Image Understanding Workshop, Monterey, CA, November 1994, pp. 359-365

Text Reference

C. Jaynes, F. Stolle, and Robert Collins, "Task Driven Perceptual Organization for Extraction of Rooftop Polygons," IEEE Workshop on Applications of Computer Vision, December, 1994, pp. 152-159.

BibTeX Reference

@inproceedings{Collins_1994_1926,
   author = "C. Jaynes and F. Stolle and Robert Collins",
   title = "Task Driven Perceptual Organization for Extraction of Rooftop Polygons",
   booktitle = "IEEE Workshop on Applications of Computer Vision",
   pages = "152-159",
   month = "December",
   year = "1994",
   Notes = "Also, Arpa Image Understanding Workshop, Monterey, CA, November 1994, pp. 359-365"
}

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