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Physics-Based Decorrelation of Image Data for Decision Level Fusion in Face Verification

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Multiple Classifier Systems (MCS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3077))

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Abstract

We consider the problem of face verification using multichannel image data where each channel serves as the input to a separate face verification expert. By decorrelating the information content of the respective data channels, we enhance the diversity of the resulting face verification experts as well as the performance of the multiple classifier system.

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References

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© 2004 Springer-Verlag Berlin Heidelberg

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Kittler, J., Sadeghi, M.T. (2004). Physics-Based Decorrelation of Image Data for Decision Level Fusion in Face Verification. In: Roli, F., Kittler, J., Windeatt, T. (eds) Multiple Classifier Systems. MCS 2004. Lecture Notes in Computer Science, vol 3077. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25966-4_35

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  • DOI: https://doi.org/10.1007/978-3-540-25966-4_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22144-9

  • Online ISBN: 978-3-540-25966-4

  • eBook Packages: Springer Book Archive

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