Abstract
This paper is proposed by 3D facial avatar modeling using stereo camera. We use the adaboost algorithm for facial detection to get 3D facial data. We make the 3D facial modeling to match extractive 3D data with justified 3D facial avatar. We use ICP algorithm for matching 3D data and control the number of vertex and feature point for efficiency and accuracy. Feature point is selected within outline points using canny edge method. We propose to make personal 3D facial avatar for reducing expense and time.
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References
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Kang, Hs., Yu, Sh., Park, M. (2010). 3D Matching applied ICP Algorithm for 3D Facial Avatar Modeling Using Stereo Camera. In: Lee, Y., et al. Aging Friendly Technology for Health and Independence. ICOST 2010. Lecture Notes in Computer Science, vol 6159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13778-5_28
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DOI: https://doi.org/10.1007/978-3-642-13778-5_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13777-8
Online ISBN: 978-3-642-13778-5
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