Precomputing interactive dynamic deformable scenes
ACM SIGGRAPH 2003 Papers
Meshless deformations based on shape matching
ACM SIGGRAPH 2005 Papers
Directable animation of elastic objects
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Detail-preserving fluid control
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
TRACKS: toward directable thin shells
ACM SIGGRAPH 2007 papers
FastLSM: fast lattice shape matching for robust real-time deformation
ACM SIGGRAPH 2007 papers
Backward steps in rigid body simulation
ACM SIGGRAPH 2008 papers
Example-based dynamic skinning in real time
ACM SIGGRAPH 2008 papers
Capture and modeling of non-linear heterogeneous soft tissue
ACM SIGGRAPH 2009 papers
A point-based method for animating elastoplastic solids
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Fast adaptive shape matching deformations
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Example-based elastic materials
ACM SIGGRAPH 2011 papers
Robust real-time deformation of incompressible surface meshes
SCA '11 Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Subspace integration with local deformations
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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We present an example-based elastic deformation method that runs in real time. Example-based elastic deformation was originally presented by Martin et al. [MTGG11], where an artist can intuitively control elastic material behaviors by simply giving example poses. Their FEM-based approach is, however, computationally expensive requiring nonlinear optimization, which hinders its use in real-time applications such as games. Our contribution is to formulate an analogous concept using the shape matching framework, which is fast, robust, and easy to implement. The key observation is that each overlapping local region's right stretch tensor obtained by polar decomposition is a natural choice for a deformation descriptor. This descriptor allows us to represent the pose space as a linear blending of examples. At each time step, the current deformation descriptor is linearly projected onto the example manifold, and then used to modify the rest shape of each local region when computing goal positions. Our approach is two orders of magnitude faster than Martin et al.'s approach while producing comparable example-based elastic deformations.