Abstract
This paper describes an extension of Generalized Hough Transform (GHT) to 3D point cloud for biometric applications. We focus on the possibility to applying this new GHT on a dataset representing point clouds of 3DFaces in order to obtain a nose-tip detection system.
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References
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© 2008 Springer-Verlag Berlin Heidelberg
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Bevilacqua, V., Casorio, P., Mastronardi, G. (2008). Extending Hough Transform to a Points’ Cloud for 3D-Face Nose-Tip Detection. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2008. Lecture Notes in Computer Science(), vol 5227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85984-0_144
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DOI: https://doi.org/10.1007/978-3-540-85984-0_144
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85983-3
Online ISBN: 978-3-540-85984-0
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