Abstract
This chapter presents the performance analysis of all the proposed algorithms discussed in this book. Followed by the introduction section, in section 2, the combined face detection algorithms are experimented and compared to the IFD, which demonstrates the significant benefit of applying the fusion methods. In section 3, the algorithms designed for the recognition procedure are evaluated, which demonstrates the robustness against the change of scale, facial expression, lighting, glass, and occlusion. In section 4, the database construction and update rules are verified. Then in section 5, the overall performance of the system is presented with both the online and the offline version. Finally, this chapter ends with the summary and discussions of the performance analysis issues.
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© 2010 Higher Education Press, Beijing and Springer-Verlag Berlin Heidelberg
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Mou, D. (2010). Performance Analysis. In: Machine-based Intelligent Face Recognition. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00751-4_8
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DOI: https://doi.org/10.1007/978-3-642-00751-4_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00750-7
Online ISBN: 978-3-642-00751-4