Abstract
We consider the problem of defining multi-sided patches in a system that enables G2 continuity. The technology is based on finding the weighted least squares solution of points on given input curves where a separate parameter space with control structures determines its weights. It is a generalization of Shepard’s method to a parameterized vector solution. The method generates surface patches that satisfy certain minimal energy conditions. it employs any parametric curve and points as controls for defining the surface.
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Ghostasby, A.: Image Registration by Local Approximation Methods. Image and Vision Computing 6(4), 255–261 (1988)
Hermann, T., et al.: Geometrical Criteria on the Higher Order Smoothness of Composite Surfaces. Computer Aided Geometric Design 16, 907–911 (1999)
Hoschek, J., Lasser, D.: Fundamentals of Computer Aided Geometric Design. A. K. Peters, Wellesley (1993)
Levin, A.: Interpolating Nets of Curves by Smooth Subdivision Surfaces. In: ACM SIGGRAPH, pp. 57–64 (1999)
Malraison, P.: Multi-sided Surfaces: a survey. In: Laurent, P.-J., Sablonière, P., Schumaker, L. (eds.) Curve and Surface Design, pp. 246–256 (1999)
Schneider, J.: Solving the Nearest Point on the Curve Problem. Graphics Gems, 607–612 (1990)
Sederberg, T., et al.: T-splines and T-NURCCs. In: ACM SIGGRAPH, pp. 477–484 (2003)
Sederberg, T., et al.: T-spline Simplification and Local Refinement. In: ACM SIGGRAPH, pp. 276–283 (2004)
Singh, K., Fiume, E.: Wires: a Geometric Deformation Technique. In: ACM SIGGRAPH, pp. 405–414 (1998)
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© 2005 Springer-Verlag Berlin Heidelberg
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Gao, K., Rockwood, A. (2005). Multi-sided Attribute Based Modeling. In: Martin, R., Bez, H., Sabin, M. (eds) Mathematics of Surfaces XI. Lecture Notes in Computer Science, vol 3604. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11537908_13
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DOI: https://doi.org/10.1007/11537908_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28225-9
Online ISBN: 978-3-540-31835-4
eBook Packages: Computer ScienceComputer Science (R0)Springer Nature Proceedings Computer Science
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