BIOMEDICAL IMAGING GROUP (BIG)
Laboratoire d'imagerie biomédicale (LIB)

Compactly-Supported Smooth Interpolators for Shape Modeling with Varying Resolution

D. Schmitter, J. Fageot, A. Badoual, P. Garcia-Amorena, M. Unser

Graphical Models, vol. 94, pp. 52-64, November 2017.

In applications that involve interactive curve and surface modeling, the intuitive manipulation of shapes is crucial. For instance, user interaction is facilitated if a geometrical object can be manipulated through control points that interpolate the shape itself. Additionally, models for shape representation often need to provide local shape control and they need to be able to reproduce common shape primitives such as ellipsoids, spheres, cylinders, or tori. We present a general framework to construct families of compactly-supported interpolators that are piecewise-exponential polynomial. They can be designed to satisfy regularity constraints of any order and they enable one to build parametric deformable shape models by suitable linear combinations of interpolators. They allow to change the resolution of shapes based on the refinability of B-splines. We illustrate their use on examples to construct shape models that involve curves and surfaces with applications to interactive modeling and character design. 

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AUTHOR="Schmitter, D. and Fageot, J. and Badoual, A. and Garcia-Amorena,
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TITLE="Compactly-Supported Smooth Interpolators for Shape Modeling with
	Varying Resolution",
JOURNAL="Graphical Models",
YEAR="2017",
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