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Experimental Comparison among 3D Innovative Face Recognition Frameworks

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5755))

Abstract

In this paper, starting to the previous work on 3D face recognition, is presented an optimization of the search of the points ALS and ALD of the nose and a new graph approach for the recognition base on several new points. Experiments are performed on a dataset (44 3D faces) acquired by a 3D laser camera at eBIS lab with pose and expression variations. The face recognition performance on the 44 faces considered reach the 100% percentage.

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References

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© 2009 Springer-Verlag Berlin Heidelberg

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Bevilacqua, V., Mastronardi, G., Piarulli, R., Santarcangelo, V., Scaramuzzi, R., Zaccaglino, P. (2009). Experimental Comparison among 3D Innovative Face Recognition Frameworks. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence. ICIC 2009. Lecture Notes in Computer Science(), vol 5755. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04020-7_117

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  • DOI: https://doi.org/10.1007/978-3-642-04020-7_117

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04019-1

  • Online ISBN: 978-3-642-04020-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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