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开集人脸识别中的性能评估系统

, PP. 289-293

Keywords: 性能评估,人脸识别,巴氏距离

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Abstract:

构建一套适用于开集人脸识别任务的性能评估系统.该系统包括训练集质量评估和对测试样本分类结果性能评估两部分.对于前者,利用巴氏距离作为贝叶斯分类错误率的近似,并考虑开集问题中样本并非服从独立同分布假设的特殊性质,在高斯与非高斯情况下均得到训练集的质量评价函数,其中高斯情况下该函数具有闭式表达.对于后者,通过考察测试样本对附近正/负样本对的分布密度,度量由分类器得到的样本对相似程度的可靠程度,完善以往文献对比缺乏衡量的不足.文中结果在多个人脸数据库上均得到验证.

References

[1]  Belhumeur P N, Hespanha J P, Kriegman D. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection. IEEE Trans on Pattern Analysis and Machine Intelligence, 1997, 19(7): 711-720
[2]  Comon P. Independent Component Analysis, A New Concept? Si-gnal Processing, 1994, 36(3): 287-314
[3]  Goldberger J, Roweis S, Hinton G, et al. Neighborhood Components Analysis[EB/OL]. [2013-02-01]. http://www.eng.biu.ac.il/~goldbej/papers/ncanips.pdf
[4]  Kailath T. The Divergence and Bhattacharyya Distance Measures in Signal Selection. IEEE Trans on Communication Technology, 1967, 15(1): 52-60
[5]  Moghaddam B, Jebara T, Pentland A. Bayesian Face Recognition. Pattern Recognition, 2000, 33(11): 1771-1782
[6]  Yang L, Jin R. Distance Metric Learning: A Comprehensive Survey[EB/OL]. [2013-02-01]. http://www.cs.cmu.edu/~liuy/frame_survey_v2.pdf
[7]  Guillaumin M, Verbeek J, Schmid C. Is That You? Metric Learning Approaches for Face Identification // Proc of the 12th IEEE International Conference on Computer Vision. Kyoto, Japan, 2009: 498-505
[8]  Liu C J, Wechsler H. Enhanced Fisher Linear Discriminant Models for Face Recognition // Proc of the 14th International Conference on Pattern Recognition. Hong Kong, China, 1998, II: 1368-1372
[9]  Nguyen H V, Bai L. Cosine Similarity Metric Learning for Face Ve-rification[EB/OL]. [2013-02-01]. http://link.springer.com/content/pdf/10.1007/978-3-642-19309-5_55.pdf
[10]  Phillips P J, Flynn P J, Scruggs T, et al. Overview of the Face Recognition Grand Challenge // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, USA, 2005, I: 947-954
[11]  Sim T, Baker S, Bsat M. The CMU Pose, Illumination, and Expression (PIE) Database // Proc of the 5th IEEE International Conference on Automatic Face and Gesture Recognition. Washington, USA, 2002: 46-51
[12]  Liu C J, Wechsler H. Gabor Feature Based Classification Using the Enhanced Fisher Linear Discriminant Model for Face Recognition. IEEE Trans on Image Processing, 2002, 11(4): 467-476

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