A Spline-based Volumetric Data Modeling Framework and Its Applications
Abstract
In this dissertation, we concentrate on the challenging research issue of developing a spline-based modeling framework, which converts the conventional data (e.g., surface meshes) to tensor-product trivariate splines. This methodology can represent both boundary/volumetric geometry and real volumetric physical attributes in a compact and continuous fashion. The regular tensor-product structure enables our new developed methods to be embedded into the industry standard seamlessly. These properties make our techniques highly preferable in many physically-based applications including mechanical analysis, shape deformation and editing, virtual surgery training, etc.
- Publication:
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arXiv e-prints
- Pub Date:
- August 2013
- DOI:
- 10.48550/arXiv.1308.0869
- arXiv:
- arXiv:1308.0869
- Bibcode:
- 2013arXiv1308.0869L
- Keywords:
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- Computer Science - Graphics
- E-Print:
- Ph.D thesis, Computer Science Department, Stony Brook University