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On Linear Variational Surface Deformation Methods

Botsch, M., Sorkine, O.·2008·IEEE Transactions on Visualization and Computer Graphics

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.

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Metadata

Authors
Botsch, M., & Sorkine, O.
Venue
IEEE Transactions on Visualization and Computer Graphics
Published
2008-01
Volume
14
Issue
1
Pages
213-230
ISSN
1077-2626 (ISSN-L)
OpenAlex
W2166575557
Cited by
582
References
1
FWCI
45.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: On Linear Variational Surface Deformation Methods. https://app.cochat.ai/papers/10.1109/tvcg.2007.1054
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Botsch, M., & Sorkine, O. (2008). On Linear Variational Surface Deformation Methods. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/tvcg.2007.1054

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