| 人脸识别的协同算法实现与改进 |
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| 引用本文： | 陈刚,戚飞虎,陈泽宇.人脸识别的协同算法实现与改进[J].上海交通大学学报,2000,34(6):821-823. |
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| 作者姓名： | 陈刚 戚飞虎 陈泽宇 |
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| 作者单位： | 上海交通大学,计算机科学与工程系,上海,200030 |
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| 摘 要： | 从协同模式识别的动力学方程出发，研究了协同识别算法中的序参量和注意参数，提出了变注意参数方法，推导了相应的变化方程，以加快人脸识别过程，减少迭代次数，对加噪人脸图像的识别实验表明，协同算法对噪声具有较好的鲁棒性，同时识别迭代次数减小至１／８左右，证实了变注意参数方法的有效性。
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| 关 键 词： | 人脸识别 模式识别 序参量 动力学方程 协同算法 |
| 修稿时间： | 1999-03-20 |
Recognition of Human Faces Using Improved Synergetic Algorithm |
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| CHEN Gang,QI Fei-hu,CHEN Ze-yu.Recognition of Human Faces Using Improved Synergetic Algorithm[J].Journal of Shanghai Jiaotong University,2000,34(6):821-823. |
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| Authors: | CHEN Gang QI Fei-hu CHEN Ze-yu |
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| Abstract: | Face recognition is one of the important applications of pattern recognition. Synergetic algorithm has the advantage of recognizing objects by whole image information. Order parameters and attention parameters in synergetic algorithm were discussed through analyzing dynamic equation. Then, a new method of changing attention parameters and its equations were presented, which can lessen the recognition iteration process. The experiment using noised face images proves that the synergetic algorithm is robust and the new method can lessen iteration by about 8 times. |
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| Keywords: | synergetic face recognition dynamic system order parameters attention parameters |
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