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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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
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