Deformation transfer for triangle meshes
ACM SIGGRAPH 2004 Papers
Mesh editing with poisson-based gradient field manipulation
ACM SIGGRAPH 2004 Papers
Meshless deformations based on shape matching
ACM SIGGRAPH 2005 Papers
Dual Laplacian Editing for Meshes
IEEE Transactions on Visualization and Computer Graphics
Subspace gradient domain mesh deformation
ACM SIGGRAPH 2006 Papers
Segmenting a deforming mesh into near-rigid components
The Visual Computer: International Journal of Computer Graphics
Dual Laplacian morphing for triangular meshes
Computer Animation and Virtual Worlds - CASA 2007
Example-driven animation synthesis
The Visual Computer: International Journal of Computer Graphics
Shape Deformation Using a Skeleton to Drive Simplex Transformations
IEEE Transactions on Visualization and Computer Graphics
ACM SIGGRAPH 2009 papers
A unified shape editing framework based on tetrahedral control mesh
Computer Animation and Virtual Worlds - CASA' 2009 Special Issue
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Technical Section: Cage-based deformation transfer
Computers and Graphics
Real-time data driven deformation with affine bones
The Visual Computer: International Journal of Computer Graphics
Computer Animation and Virtual Worlds - CASA' 2010 Special Issue
Skeleton-Driven animation transfer based on consistent volume parameterization
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
Automatic cage generation by improved OBBs for mesh deformation
The Visual Computer: International Journal of Computer Graphics
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Creating an attractive mesh animation is a laborious and time-consuming task. In this paper, we propose a practical deformation transfer algorithm to make it easier. To achieve a robust numerical solver, we perform the transfer process in the dual domain; that is, the deformations are transferred between the dual meshes of the source and target meshes. Firstly, the source animation is analyzed and visualized to help the user specify markers in the large deformation regions. Then, through respecting the coherence information, a fast and deformation-aware surface correspondence approach is presented to determine how the source animation is transferred. Finally, the transferred result can be reconstructed via dual Laplacian optimization. Various experimental results demonstrate the effectiveness and applicability of this paper. Moreover, a user study is carefully designed to perceptually validate our motivation and advantages. Copyright © 2012 John Wiley & Sons, Ltd.