Towards a General Vision System Based on Symbol-Relation Grammars and Bayesian Networks
نویسندگان
چکیده
A novel approach to create a general vision system is presented. The proposed method is based on a visual grammar representation which is transformed to a Bayesian network which is used for object recognition. We use a symbol-relational grammar for a hierarchical description of objects, incorporating spatial relations. The structure of a Bayesian network is obtained automatically form the grammar, and its parameters are learned from examples. The method is illustrated with two examples for face recognition.
منابع مشابه
Object Recognition Based on Visual Grammars and Bayesian Networks
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