【作者】 李俊华； 彭力；

【Author】 LI Jun-hua PENG Li (College of Communication and Control Engineering,Southern Yangtze University,Wuxi 214122,China.

【机构】 江南大学 通信与控制工程学院；

【摘要】 提出了将量子神经网络应用于人脸表情识别．采用基于多层激励函数的量子神经网络和多级分类器组合的方法,对6种表情(生气、厌恶、恐惧、高兴、悲伤、惊讶)进行识别．并在 CMU 人脸表情库中进行训练和测试．实验结果表明．该识别方法在识别率和可靠性方面均有良好的效果,验证了该方法的有效性．更多还原

【Abstract】 Facial expression recognition based on quantum neural network is discussed.An approach to 6 facial expression,such as anger,disgust,fear,happiness,sadness and surprise,recognition based on multi-level transfer function quantum neural networks (QNN) and multi-layer classifiers is presented.The QNN is trained and tested by the CMU facial expression image database.The experiment results show that the method achieves excellent performance in terms of recognition rate and recognition reliability.更多还原