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基于脉冲耦合神经网络的人脸朝向分析
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作者 李媛 王霞 杨洋 《计算机科学与应用》 2011年第2期81-86,共6页
人脸朝向特征提取是人脸朝向识别的关键。本文采用基于脉冲耦合神经网络(Pulse Coupled Neural Network,简称PCNN)的特征提取方法,分别基于其熵序列、对数序列、时间序列、标准方差序列,完成了多维信息到一维信息的转化,并针对椒盐噪声... 人脸朝向特征提取是人脸朝向识别的关键。本文采用基于脉冲耦合神经网络(Pulse Coupled Neural Network,简称PCNN)的特征提取方法,分别基于其熵序列、对数序列、时间序列、标准方差序列,完成了多维信息到一维信息的转化,并针对椒盐噪声影响下对数序列的分类效果进行分析。通过欧氏距离法进行人脸朝向的分类识别,结果表明,基于PCNN对数序列对人脸朝向特征提取的正确率可达96%,并且具有一定的抗噪能力。 展开更多
关键词 PCNN 人脸朝向识别 特证提取 征序列
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Modification of evidence theory based on feature extraction
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作者 杜峰 施文康 邓勇 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2005年第6期667-673,共7页
Although evidence theory has been widely used in information fusion due to its effectiveness of uncertainty reasoning, the classical DS evidence theory involves counter-intuitive behaviors when high conflict informati... Although evidence theory has been widely used in information fusion due to its effectiveness of uncertainty reasoning, the classical DS evidence theory involves counter-intuitive behaviors when high conflict information exists. Many modification methods have been developed which can be classified into the following two kinds of ideas, either modifying the combination rules or modifying the evidence sources. In order to make the modification more reasonable and more effective, this paper gives a thorough analysis of some typical existing modification methods firstly, and then extracts the intrinsic feature of the evidence sources by using evidence distance theory. Based on the extracted features, two modified plans of evidence theory according to the corresponding modification ideas have been proposed. The results of numerical examples prove the good performance of the plans when combining evidence sources with high conflict information. 展开更多
关键词 evidence theory combination rule feature extraction evidence distance
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