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Locality preserving projections plus affinity propagation: a fast method for face recognition

机译:保留位置的投影加上亲和力传播:一种快速的人脸识别方法

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摘要

This letter develops a novel and fast framework called APLPP to tackle the face recognition task by combining locality preserving projections (LPP) with the affinity propagation clustering method. Unlike LPP, which uses all training images to identify a test image, our affinity propagation LPP (APLPP) uses much fewer images, free of noise, for identification. Thus APLPP is more computationally efficient than LPP. Comparative experiments also indicate that APLPP outperforms LPP regarding the recognition rate.
机译:这封信开发了一种新颖且快速的框架,称为APLPP,通过将局部保留投影(LPP)与亲和力传播聚类方法相结合来解决人脸识别任务。与使用所有训练图像来识别测试图像的LPP不同,我们的相似度传播LPP(APLPP)使用的图像少得多,没有噪声,可以用于识别。因此,APLPP比LPP具有更高的计算效率。对比实验还表明,在识别率方面,APLPP优于LPP。

著录项

  • 来源
    《Optical engineering》 |2008年第4期|040501.1-040501.3|共3页
  • 作者单位

    Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, Shanghai, 200240 China;

    Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, Shanghai, 200240 China;

    University of Technology Sydney, Department of Computer Systems, Sydney, 2007 Australia;

    Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, Shanghai, 200240 China;

    Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, Shanghai, 200240 China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    face recognition; locality preserving projections; affinity propagation; representative face image;

    机译:人脸识别;保留地点的预测;亲和力传播代表人物形象;

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