Multiresolution Methods in Scattered Data Modelling

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Co-authors Michael S.


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Floater Professor of mathematics, University of Oslo Verified email at math. Emmanuil H.

Multiresolution Methods in Scattered Data Modelling

Professor of Numerical Approximation, University of Hamburg. Verified email at uni-hamburg. Articles Cited by Co-authors.

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Journal of Computational and Applied Mathematics 73 , , Journal of Computational Physics 2 , , Journal of Computational and Applied Mathematics 2 , , Advances in multiresolution for geometric modelling, , Torino 61 3 , , Articles 1—20 Show more. Special emphasis is placed on comparisons between the various numerical algorithms developed in this work and comparable state-of-the-art methods.

To this end, extensive numerical examples, mainly arising from real-world applications, are provided.

Modeling with multiresolution subdivision surfaces (SIGGRAPH 2006 Courses)

This research monograph is arranged in six chapters: 1. Introduction; 2. Algorithms and Data Structures; 3.


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Radial Basis Functions; 4. Thinning Algorithms; 5.

Product | Multiresolution Methods in Scattered Data Modelling

Multilevel Approximation Schemes; 6. Multiresolution on the Sphere. Scattered Data Fitting with Bivariate Splines.

quicentugeschskin.gq Parameterization of Triangulations and Unorganized Points. Simplification and Compression of 3D Meshes. Back Matter Pages About this book Introduction Multiresolution methods in geometric modelling are concerned with the generation, representation, and manipulation of geometric objects at several levels of detail. Applications include fast visualization and rendering as well as coding, compression and digital transmission of 3D geometric objects.