A cellular neural network for deformable object modelling
This paper presents a new methodology for the deformation of soft objects bydrawing an analogy between cellular neural network (CNN) and elasticdeformation. An improved CNN model is developed to simulate thedeformation of soft objects. A fnite volume based method is presented to derivethe discrete d...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Book Chapter |
| Published: |
Springer
2006
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| Online Access: | http://hdl.handle.net/20.500.11937/32335 |