Titlebook: Audio-and Video-Based Biometric Person Authentication; 4th International Co Josef Kittler,Mark S. Nixon Conference proceedings 2003 Springe

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书目名称Audio-and Video-Based Biometric Person Authentication影响因子(影响力)




书目名称Audio-and Video-Based Biometric Person Authentication影响因子(影响力)学科排名




书目名称Audio-and Video-Based Biometric Person Authentication网络公开度




书目名称Audio-and Video-Based Biometric Person Authentication网络公开度学科排名




书目名称Audio-and Video-Based Biometric Person Authentication被引频次




书目名称Audio-and Video-Based Biometric Person Authentication被引频次学科排名




书目名称Audio-and Video-Based Biometric Person Authentication年度引用




书目名称Audio-and Video-Based Biometric Person Authentication年度引用学科排名




书目名称Audio-and Video-Based Biometric Person Authentication读者反馈




书目名称Audio-and Video-Based Biometric Person Authentication读者反馈学科排名

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Tomas Hökfelt,Tamas Bartfai,David Ottosonf six people and significantly outperformed a comparable global face recognition system. The results show the potential of the combination of morphable models and component-based recognition towards pose and illumination invariant face recognition based on only three training images of each subject.

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On the solution structure of galaninis superior when a large enough training set is available. Moreover, the SVM is almost insensitive to the choice of representation. However, a dimensionality reduction can be beneficial if constraints on the size of the template are imposed.

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Tomas Hökfelt,Tamas Bartfai,David Ottosoned on a different day from the enrolled images, (b) degradation in performance does . follow a simple predictable pattern with time between known and unknown image acquisition, and (c) performance figures quoted in the literature based on known and unknown image sets acquired on the same day may have little practical value.

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Quad Phase Minimum Average Correlation Energy Filters for Reduced Memory Illumination Tolerant Face tio of up to 32:1 for each biometric filter while still attaining very good verification performance (100% in some cases). The results we show are based on the illumination subsets of the CMU PIE database[.] on 65 people with 21 facial images per person.