Elementary decision theory
Mathematical Models for Automatic Line Detection
Journal of the ACM (JACM)
Application of game tree searching techniques to sequential pattern recognition
Communications of the ACM
Generating Semantic Descriptions From Drawings of Scenes With Shadows
Generating Semantic Descriptions From Drawings of Scenes With Shadows
Problem-Solving Methods in Artificial Intelligence
Problem-Solving Methods in Artificial Intelligence
Edge finding, segmentation of edges and recognition of complex objects
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
A region-analysis subsystem for interactive scene analysis
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
Acquisition of moving objects and hand-eye coordination
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
Visual understanding of hybrid circuits via procedural models
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
Context modeling in computer vision: techniques, implications, and applications
Multimedia Tools and Applications
A methodology for the development of general knowledge-based vision systems
PKWBS-W'84 Proceedings of the 1984 IEEE conference on Principles of knowledge-based systems
Learning logic rules for scene interpretation based on markov logic networks
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
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The problem of breaking an image into meaningful regions is considered. Bayesian decision theory is seen to provide a mechanism for including problem dependent (semantic) information in a general system. Some results are presented which make the computation feasible. A programming system based on these ideas and their application to road scenes is described.