On linear variational surface deformation methods
- PMID: 17993714
- DOI: 10.1109/TVCG.2007.1054
On linear variational surface deformation methods
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.
Similar articles
-
Quasi-developable mesh surface interpolation via mesh deformation.IEEE Trans Vis Comput Graph. 2009 May-Jun;15(3):518-28. doi: 10.1109/TVCG.2008.192. IEEE Trans Vis Comput Graph. 2009. PMID: 19282556
-
Diffusion equations over arbitrary triangulated surfaces for filtering and texture applications.IEEE Trans Vis Comput Graph. 2008 May-Jun;14(3):666-79. doi: 10.1109/TVCG.2008.10. IEEE Trans Vis Comput Graph. 2008. PMID: 18369272
-
Velocity-Aligned Discrete Oriented Polytopes for dynamic collision detection.IEEE Trans Vis Comput Graph. 2008 Jan-Feb;14(1):1-12. doi: 10.1109/TVCG.2007.70405. IEEE Trans Vis Comput Graph. 2008. PMID: 17993697
-
A review of geometric transformations for nonrigid body registration.IEEE Trans Med Imaging. 2008 Jan;27(1):111-28. doi: 10.1109/TMI.2007.904691. IEEE Trans Med Imaging. 2008. PMID: 18270067 Review.
-
3D distance fields: a survey of techniques and applications.IEEE Trans Vis Comput Graph. 2006 Jul-Aug;12(4):581-99. doi: 10.1109/TVCG.2006.56. IEEE Trans Vis Comput Graph. 2006. PMID: 16805266 Review.
Cited by
-
As-Rigid-As-Possible molecular interpolation paths.J Comput Aided Mol Des. 2017 Apr;31(4):403-417. doi: 10.1007/s10822-017-0012-y. Epub 2017 Mar 20. J Comput Aided Mol Des. 2017. PMID: 28321532
-
Curvature estimation techniques for advancing neurodegenerative disease analysis: a systematic review of machine learning and deep learning approaches.Am J Neurodegener Dis. 2025 Feb 25;14(1):1-33. doi: 10.62347/DZNQ2482. eCollection 2025. Am J Neurodegener Dis. 2025. PMID: 40124352 Free PMC article. Review.
-
Shape-Aware Matching of Implicit Surfaces Based on Thin Shell Energies.Found Comut Math. 2018;18(4):891-927. doi: 10.1007/s10208-017-9357-9. Epub 2017 Jun 26. Found Comut Math. 2018. PMID: 30956649 Free PMC article.
-
Robust Template-Based Non-Rigid Motion Tracking Using Local Coordinate Regularization.IEEE Winter Conf Appl Comput Vis. 2020 Mar;2020:390-399. doi: 10.1109/wacv45572.2020.9093533. Epub 2020 May 14. IEEE Winter Conf Appl Comput Vis. 2020. PMID: 32524059 Free PMC article.
-
Deformation of facial model for complete denture prosthesis using ARAP group method and elastic properties.Med Biol Eng Comput. 2017 Sep;55(9):1635-1647. doi: 10.1007/s11517-017-1626-x. Epub 2017 Feb 7. Med Biol Eng Comput. 2017. PMID: 28176265
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources