Copyright © 2007 Elsevier Ltd All rights reserved.
Dual evolution of planar parametric spline curves and T-spline level sets
Received 6 October 2006;
Abstract
By simultaneously considering evolution processes for parametric spline curves and implicitly defined curves, we formulate the framework of dual evolution. This allows us to combine the advantages of both representations. On the one hand, the implicit representation is used to guide the topology of the parametric curve and to formulate additional constraints, such as range constraints. On the other hand, the parametric representation helps to detect and to eliminate unwanted branches of the implicitly defined curves. Moreover, it is required for many applications, e.g., in Computer Aided Design.
Keywords: T-splines; Level sets; Dual evolution; Range–volume–curvature constraints
Article Outline
- 1. Introduction
- 2. Dual evolution of planar curves
- 2.1. Evolving curves
- 2.2. Speed functions
- 2.3. Evolution of parametric curves
- 2.4. Evolution of implicitly defined curves
- 2.5. Dual evolution
- 3. The synchronization step
- 3.1. Detection of topological changes
- 3.1.1. Method 1: Self-intersections on the parametric curve
- 3.1.2. Method 2: Comparing normals
- 3.1.3. Method 3: Distance check
- 3.1.4. Comparison
- 3.2. Synchronization without topological changes
- 3.2.1. Fitting the implicitly defined curve to the parametric one
- 3.2.2. Fitting the parametric curve to the implicitly defined one
- 3.3. Synchronization with topological changes
- 4. Constraints
- 4.1. Range constraints
- 4.2. Area constraints
- 4.3. Convexity constraints
- 5. Concluding remarks
- Acknowledgements
- References






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