- publication
- IEEE Transactions on Visualization and Computer Graphics, Vol. 14(1), 2008
- tutorial
- Interactive Shape Modeling and Deformation, EUROGRAPHICS 2009
- authors
- Mario Botsch, Olga Sorkine-Hornung
abstract
This survey reviews the recent advances in linear variational mesh deformation techniques. These methods were developed for editing detailed high-resolution meshes, like those produced by scanning real-world objects. The challenge of manipulating such complex surfaces is three-fold: the deformation technique has to be sufficiently fast, robust, and intuitive and easy to control to be useful for interactive applications. An intuitive, and thus predictable, deformation tool should provide physically plausible and aesthetically pleasing surface deformations, which in particular requires its geometric details to be preserved. The methods we survey generally formulate surface deformation as a global variational optimization problem that addresses the differential properties of the edited surface. Efficiency and robustness are achieved by linearizing the underlying objective functional, such that the global optimization amounts to solving a sparse linear system of equations. We review the different deformation energies and detail preservation techniques that were proposed in the recent years, together with the various techniques to rectify the linearization artifacts. Our goal is to provide the reader with a systematic classification and comparative description of the different techniques, revealing the strengths and weaknesses of each approach in common editing scenarios.
downloads
- Survey paper (IEEE TVCG, author version; official version available at http://ieeexplore.ieee.org/)
- Deformation data (meshes, ROI and handle selection data, handle transformation, results for 5 deformation methods)
- Tutorial slides (presented at EUROGRAPHICS 2009, Tutorial: Interactive Shape Modeling and Deformation)
- Survey paper BibTex entry
- EG09 tutorial BibTex entry
acknowledgments
We wish to thank Leif Kobbelt and Daniel Cohen-Or for encouraging us to prepare this survey and for co-authoring numerous papers recited here. We are also grateful to them, and to Marc Alexa, Markus Gross, Denis Zorin, Max Wardetzky, Klaus Hildebrandt for the various discussions that helped to improve this manuscript. We also thank the anonymous reviewers for their valuable comments and suggestions. The results in Fig. 7 of the survey are courtesy of Tiberiu Popa and Alla Sheffer.