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Deformation transfer for triangle meshes
Abstract
Deformation transfer applies the deformation exhibited by a source triangle mesh onto a different target triangle mesh. Our approach is general and does not require the source and target to share the same number of vertices or triangles, or to have identical connectivity. The user builds a correspondence map between the triangles of the source and those of the target by specifying a small set of vertex markers. Deformation transfer computes the set of transformations induced by the deformation of the source mesh, maps the transformations through the correspondence from the source to the target, and solves an optimization problem to consistently apply the transformations to the target shape. The resulting system of linear equations can be factored once, after which transferring a new deformation to the target mesh requires only a backsubstitution step. Global properties such as foot placement can be achieved by constraining vertex positions. We demonstrate our method by retargeting full body key poses, applying scanned facial deformations onto a digital character, and remapping rigid and non-rigid animation sequences from one mesh onto another.
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“After a few steps, more emphasis is put on the data term because the original shape has been deformed to lie close enough to the aligning shape [29], [30].”
From Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid (2013) · cites this paper as [30]
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Cites
Free-form deformation of solid geometric models
Sederberg, T. W., & Parry, S. R. (1986) · ACM SIGGRAPH Computer Graphics · doi:10.1145/15886.15903 · Cited by 2,595
Lewis, J. P., Cordner, M., & Fong, N. (2000) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/344779.344862 · Cited by 874
Retargetting motion to new characters
Gleicher, M. (1998) · Proceedings of the 25th annual conference on Computer graphics and interactive techniques - SIGGRAPH '98 · doi:10.1145/280814.280820 · Cited by 854
The space of human body shapes
Allen, B., Curless, B., & Popović, Z. (2003) · ACM Transactions on Graphics · doi:10.1145/882262.882311 · Cited by 725
As-rigid-as-possible shape interpolation
Alexa, M., Cohen‐Or, D., & Levin, D. (2000) · ACM SIGGRAPH Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH) · doi:10.1145/344779.344859 · Cited by 520
Global and local deformations of solid primitives
Barr, A. H. (1984) · ACM SIGGRAPH Computer Graphics · doi:10.1145/964965.808573 · Cited by 481
Singh, K. S., & Fiume, E. L. (1998) · ACM SIGGRAPH Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH) · doi:10.1145/280814.280946 · Cited by 327
Sloan, P. J., Rose, C. F., & Cohen, M. F. (2001) · ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D) · doi:10.1145/364338.364382 · Cited by 277
Direct manipulation of free-form deformations
Hsu, W. M., Hughes, J. F., & Kaufman, H. (1992) · ACM SIGGRAPH Computer Graphics · doi:10.1145/142920.134036 · Cited by 224
Noh, J.-Y., & Neumann, U. (2001) · Proceedings of the 28th annual conference on Computer graphics and interactive techniques · doi:10.1145/383259.383290 · Cited by 224
Research works printed but not linked: 1
- DAVIS, T. A. 2003. Umfpack version 4.1 user guide. Tech. rep., University of Florida. TR-03-008.
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Metadata
- Authors
- Sumner, R. W., & Popović, J.
- Affiliations
- Massachusetts Institute of Technology (US)
- Venue
- ACM SIGGRAPH 2004 Papers
- Publisher
- ACM
- Published
- 2004-08
- Pages
- 399-405
- OpenAlex
- W4252995899
- Cited by
- 203
- References
- 14
- Citations by year
- 2025: 3 · 2024: 7 · 2023: 5 · 2022: 7 · 2021: 6 · 2020: 5 · 2019: 10 · 2018: 11 · 2017: 7 · 2016: 9 · 2015: 3 · 2014: 10 · 2013: 11 · 2012: 14
- FWCI
- 15.55
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM SIGGRAPH Conference (SIGGRAPH) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › 3D Shape Modeling and Analysis
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Human Motion and Animation
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Computer Graphics and Visualization Techniques
- Keywords
- deformation transfer, triangular meshes
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