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Model-based Influence Diagrams for Machine Vision
We show an approach to automated control of machine vision systems based on incremental creation and evaluation of a particular family of influence diagrams that represent hypotheses of imagery interpretation and possible subsequent processing decisions.
Utility-Based Control for Computer Vision
Parallel computation is available at several levels of processor capability.
Bayesian Inference in Model-Based Machine Vision
This is a preliminary version of visual interpretation integrating multiple sensors in SUCCESSOR, an intelligent, model-based vision system.
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