基于Markov网络和多信息融合的民航人脸识别
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引用本文:车通,朱燕翎,王谦,李博文.基于Markov网络和多信息融合的民航人脸识别[J].计算技术与自动化,2020,(2):138-144
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作者单位
车通,朱燕翎,王谦,李博文 (中国民用航空飞行学院 机场工程与运输管理学院四川 广汉 618307) 
中文摘要:针对民航人脸识别系统中人脸图像的锐化识别问题,提出了一种人脸锐化照片综合识别方法。对于不同尺度下的不同合成结果,采用双尺度Markov网络的级联锐化合成方法进行图像合成,并提出了基于结构信息和特征信息的人脸识别数据融合方法。结合人脸识别认知理论,将结构信息和特征信息结合起来完成识别。实验结果表明,该方法在合成和识别过程中均优于其他方法。
中文关键词:人脸识别  双尺度Markov网络  结构信息  特征信息  图片锐化
 
Face Recognition of Civil Aviation Based on Markov Network and Multi-information Fusion
Abstract:Aiming at the problem of facial image sharpening recognition in civil aviation face recognition system,this paper proposes a comprehensive method of facial image sharpening recognition. For different synthesis results at different scales,the cascade sharpening synthesis method of two-scale Markov network is used to synthesize images,and a face recognition data fusion method based on structural information and feature information is proposed. Combining the cognitive theory of face recognition,the structure information and feature information are combined to complete the recognition. The experimental results show that this method is superior to other methods in the process of synthesis and recognition.
keywords:face recognition  two-scale Markov network  structural information  feature information  image sharpening
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