Nonparametric joint shape learning for customized shape modeling
Ünal, Gözde (2010) Nonparametric joint shape learning for customized shape modeling. Computerized Medical Imaging and Graphics, 34 (4). pp. 298-307. ISSN 0895-6111
Official URL: http://dx.doi.org/10.1016/j.compmedimag.2009.12.001
We present a shape optimization approach to compute patient-specific models in customized prototyping applications. We design a coupled shape prior to model the transformation between a related pair of surfaces, using a nonparametric joint probability density estimation. The coupled shape prior forces with the help of application-specific data forces and smoothness forces drive a surface deformation towards a desired output surface. We demonstrate the usefulness of the method for generating customized shape models in applications of hearing aid design and pre-operative to intra-operative anatomic surface estimation.
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