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: | Zhong, Yongmin, Shirinzadeh, B., Yuan, X., Alici, G., Smith, J. |
|---|---|
| Other Authors: | W Shen |
| Format: | Book Chapter |
| Published: |
Springer
2006
|
| Online Access: | http://hdl.handle.net/20.500.11937/32335 |
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