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Titlebook: Biometric Recognition; 10th Chinese Confere Jinfeng Yang,Jucheng Yang,Jianjiang Feng Conference proceedings 2015 Springer International Pub

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A DCNN and SDM Based Face Alignment Algorithm existing all the time in face alignment: the initialization and great accuracy difference between inner points and outline points. First, we adopt DCNN to coarsely localize 5 points: two pupils, nose and two mouth corners. Second, based on shape initialization of coarse location, using SDM with ext
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Non-negative Sparsity Preserving Projections Algorithm Based Face Recognitionpose a more reasonable method of constructing the weight matrix and the coefficients of the weight matrix are all non-negative. This method is more consistent with the biological modeling of visual data and often produces much better results for data representation. Experimental results have shown t
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Heterogeneous Face Recognition Based on Super Resolution Reconstruction by Adaptive Multi-dictionarya super resolution reconstruction algorithm by adaptive multi-dictionary learning is adopted. Compared with the traditional global dictionary learning, this algorithm spends less time on dictionary training and image reconstruction to a great extent. Firstly, a sketch is transformed to a photo by ei
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Jinfeng Yang,Jucheng Yang,Jianjiang FengIncludes supplementary material:
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/188169.jpg
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