摘要: This paper presents a fuzzy KNN and Bayesian decision based classification method for determining whether 3D object belongs to human class. To achieve efficiency simplicity, the view having maximum area is used substitute shape, which front-side models. View features structural are utilized describe those selected views. For shape feature can not distinguish one class from others crisply, adopted estimate probability that using extracted an unknown of training objects. Structural represented as adjacent graphs after decompositions, while characteristic structures predefined Next priori probabilities structure exist in other classes gained object, graph checked exists, then results together classify by rule. Experimental show our approach have good accuracy classifications.
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