Research on face recognition algorithm under complex conditions
This paper presents a face model based on Bayesian networks. The main idea is to establish a Bayesian network model based on the cognitive theory in daily life. The input of the network is the feature of facial organs on the face (that the organs have relevance in the model), and the output is the specific type of the face. Then the feature vectors of facial organs are extracted according to a certain algorithm. Finally, the specific categories are calculated by Gauss distribution and joint tree algorithm. Experimental results show the algorithm has excellent recognition effect.
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