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 language | English (US) |
|---|---|
| Pages | 152-159 |
| Number of pages | 8 |
| State | Published - 1994 |
| Event | Proceedings of the 2nd IEEE Workshop on Applications of Computer Vision - Sarasota, FL, USA Duration: Dec 5 1994 → Dec 7 1994 |
Other
| Other | Proceedings of the 2nd IEEE Workshop on Applications of Computer Vision |
|---|---|
| City | Sarasota, FL, USA |
| Period | 12/5/94 → 12/7/94 |
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Electrical and Electronic Engineering