
Summary: Constructing splines whose parametric domain is an arbitrary manifold and effectively computing such splines in real-world applications are of fundamental importance in solid and shape modeling, geometric design, graphics, etc. This paper presents a general theoretical and computational framework, in which spline surfaces defined over planar domains can be systematically extended to manifold domains with arbitrary topology with or without boundaries. We study the affine structure of domain manifolds in depth and prove that the existence of manifold splines is equivalent to the existence of a manifold's affine atlas. Based on our theoretical breakthrough, we also develop a set of practical algorithms to generalize triangular B-spline surfaces from planar domains to manifold domains. We choose triangular B-splines mainly because of its generality and many of its attractive properties. As a result, our new spline surface defined over any manifold is a piecewise polynomial surface with high parametric continuity without the need for any patching and/or trimming operations. Through our experiments, we hope to demonstrate that our novel manifold splines are both powerful and efficient in modeling arbitrarily complicated geometry and representing continuously varying physical quantities defined over shapes of arbitrary topology.
Computer-aided design (modeling of curves and surfaces), manifold spline, Riemann surface, Numerical aspects of computer graphics, image analysis, and computational geometry, geometric modeling, Computer graphics; computational geometry (digital and algorithmic aspects), affine atlas, Computing methodologies for image processing, conformal structure, Numerical computation using splines
Computer-aided design (modeling of curves and surfaces), manifold spline, Riemann surface, Numerical aspects of computer graphics, image analysis, and computational geometry, geometric modeling, Computer graphics; computational geometry (digital and algorithmic aspects), affine atlas, Computing methodologies for image processing, conformal structure, Numerical computation using splines
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