Using generic geometric models for intelligent shape extraction

Authors:
Pascal Fua;Andrew J. Hanson
Affiliations:
Artificial Intelligence Center, Computer and Information Sciences Division, SRI International;Artificial Intelligence Center, Computer and Information Sciences Division, SRI International
Venue:
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
Year:
1987

Citing 3
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Abstract

Object delineation that is based only on low-level segmentation or edge-finding algorithms is difficult because typical edge maps have either too few object edges or too many irrelevant edges, while object-containing regions are generally oversegmented or undersegmented. We correct these shortcomings by using model-based geometric constraints to produce delineations belonging to generic shape classes. Our work thus supplies an essential link between low-level and high-level image-understanding techniques. We show representative results achieved when our models for buildings, roads, and trees are applied to aerial images.