Inverse solution for parameter estimation of a dynamic volume spline based forehead skin model

Date

2010-01-01

Author

Ulusoy, İlkay
WEBER, GERHARD WİEHELM

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Human facial soft tissue is modelled by a dynamic volume spline and the parameters of this model are estimated from the actual human facial skin properties by the optimization-based inverse solution. In the literature, various compressive force-displacement experiments are conducted and the parameters of the proposed models are estimated from the actual force and the corresponding displacement values measured during the experiments. Different from the common techniques in the literature, the displacement is measured in this study not only for the point of force contact with the surface but also for the region around the contact point. This is done by 3D reconstructing the shape of the compressed surface from the multiple camera views. This data is very suitable for estimating the parameters of the dynamic volume spline model by using an optimization-based inverse solution. The inverse solution is tested for various simulations starting from various initial conditions. Also, the inverse solution is applied to the real data collected during the experiments. When the model is used with the estimated parameter values, it behaves in a very similar way to the actual tissue characteristic which is obtained during the force-displacement experiment. Finally, the estimated parameters are used to model and animate the human face for various forehead expressions.

Subject Keywords

General Engineering, Applied Mathematics, Computer Science Applications

URI

https://hdl.handle.net/11511/34939

Journal

INVERSE PROBLEMS IN SCIENCE AND ENGINEERING

DOI

https://doi.org/10.1080/17415971003658007

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

İ. Ulusoy and G. W. WEBER, “Inverse solution for parameter estimation of a dynamic volume spline based forehead skin model,” INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, pp. 585–612, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/34939.