Paper Info
Title
Joint-aware manipulation of deformable models
Abstract
Complex mesh models of man-made objects often consist of multiple components connected by various types of joints. We propose a joint-aware deformation framework that supports the direct manipulation of an arbitrary mix of rigid and deformable components. First we apply slippable motion analysis to automatically detect multiple types of joint constraints that are implicit in model geometry. For single-component geometry or models with disconnected components, we support user-defined virtual joints. Then we integrate manipulation handle constraints, multiple components, joint constraints, joint limits, and deformation energies into a single volumetric-cell-based space deformation problem. An iterative, parallelized Gauss-Newton solver is used to solve the resulting nonlinear optimization. Interactive deformable manipulation is demonstrated on a variety of geometric models while automatically respecting their multi-component nature and the natural behavior of their joints.
Year
DOI
Venue
2009
10.1145/1576246.1531341
ACM Trans. Graph.
Keywords
Field
DocType
inverse kinematics,geometric model,nonlinear optimization
Computer vision,Mathematical optimization,Inverse kinematics,Computer science,Nonlinear programming,Deformation Problem,Joint constraints,Artificial intelligence,Deformation (mechanics),Motion analysis,Solver
Journal
Volume
Issue
ISSN
28
3
0730-0301
Citations 
PageRank 
References 
46
1.84
35
Authors
7
Name
Order
Citations
PageRank
Weiwei Xu187550.19
Jun Wang21105.83
KangKang Yin375032.21
Kun Zhou43690159.79
Michiel van de Panne52089160.87
Falai Chen640332.47
Baining Guo73970194.91