Decision level fusion algorithm with fuzzy densities determined by object
Yongzhao Zhan · Journal of Computer Applications · 2010
The fuzzy densities of fuzzy integral are determined by the priori static information of labeled samples and cannot be dynamically adjusted by the recognition result of specific objects to be realistic.To overcome this disadvantage,a decision level fusion algorithm with fuzzy integral whose fuzzy densities were determined dynamically by objects was presented.In this algorithm,the fuzzy densities were determined dynamically by combining the discriminabiltity computed from the objective information given by the classifiers after recognizing the specific object and the priori static information.This algorithm was applied to facial expression recognition.The experimental results show that the proposed algorithm can obtain a better fusion result and raise the accuracy of expression recognition.