Abstract
Real-time realistic reproduction of facial expressions has the potentiality to become a fundamental tool for rehabilitation in psychological and psychiatric disorders. The most accurate techniques are based on biomechanical modelling the face. However, they are inapplicable when real-time is required due to the computational load. An alternative solution pursued here, is to first capture the facial surface by a three-dimensional scanner, and then apply to it the motion of few repere points captured live. In particular, we have implemented a two-layered model, where the connection between the lower layer (control mesh) and the upper layer (topologial model) is realised by fuzzy-connections. This avoids cracks over the surface and gives a smooth deformation of the face.
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© 2002 Springer-Verlag London Limited
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Rigiroli, P., Borghese, N.A. (2002). Fuzzy Connections in realistic real-time facial animation. In: Tagliaferri, R., Marinaro, M. (eds) Neural Nets WIRN Vietri-01. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0219-9_22
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DOI: https://doi.org/10.1007/978-1-4471-0219-9_22
Publisher Name: Springer, London
Print ISBN: 978-1-85233-505-2
Online ISBN: 978-1-4471-0219-9
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