Abstract
We will present a new practical implementation of a person verification system using the projection vectors based on curvatures for range face images. The combination of the four curvatures according to the curvature threshold and depth values show that proposed method achieves higher recognition rate of the cases for ranked best candidates, respectively, and combined recognition rate also.
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© 2005 Springer-Verlag Berlin Heidelberg
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Lee, Y., Kim, ID. (2005). Curvature Based Range Face Recognition Analysis Using Projection Vector by Subimage. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_175
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DOI: https://doi.org/10.1007/11589990_175
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30462-3
Online ISBN: 978-3-540-31652-7
eBook Packages: Computer ScienceComputer Science (R0)