主催: The Society of Instrument and Control Engineers
共催: The IEEE Industrial Electronics Society, The IEEE Robotics and Automation Society, The IEEE Control Systems Society, The IEEE Systems, Man and Cybernetics Society, The Instrumentation, Systems, and Automation Society
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We propose a face detection method using compound features. Four kinds of features are combined to construct a compound feature vector. The projection of the feature vector on a reduced feature subspace learned by PCA is used as the input of the classifier, which is a polynomial neural network (PNN). The experimental results demonstrate the effectiveness of the proposed method.