Task Driven Perceptual Organization for Extraction of Rooftop Polygons
Workshop Paper, IEEE Workshop on Applications of Computer Vision (WACV '94), pp. 152 - 159, December, 1994
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
Also, ARPA Image Understanding Workshop, Monterey, CA, November 1994, pp. 359 - 365
Also, ARPA Image Understanding Workshop, Monterey, CA, November 1994, pp. 359 - 365
BibTeX
@workshop{Jaynes-1994-13809,author = {C. Jaynes and F. Stolle and Robert Collins},
title = {Task Driven Perceptual Organization for Extraction of Rooftop Polygons},
booktitle = {Proceedings of IEEE Workshop on Applications of Computer Vision (WACV '94)},
year = {1994},
month = {December},
pages = {152 - 159},
}
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.