Task driven perceptual organization for extraction of rooftop polygons

Christopher O. Jaynes, Frank Stolle, Robert Collins

Research output: Contribution to conferencePaperpeer-review

28 Scopus citations

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 of 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.

Original languageEnglish (US)
Pages152-159
Number of pages8
StatePublished - Dec 1 1994
EventProceedings of the 2nd IEEE Workshop on Applications of Computer Vision - Sarasota, FL, USA
Duration: Dec 5 1994Dec 7 1994

Other

OtherProceedings of the 2nd IEEE Workshop on Applications of Computer Vision
CitySarasota, FL, USA
Period12/5/9412/7/94

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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