A cellular neural network methodology for deformable object simulation

A cellular neural network methodology for deformable object simulation

This paper presents a new methodology to simulate soft object deformation by drawing an analogy between a cellular neural network (CNN) and elastic deformation. The potential energy stored in an elastic body as a result of a deformation caused by an external force is propagated among mass points by...

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Bibliographic Details
Main Authors: Zhong, Yongmin, Shirinzadeh, B., Alici, G., Smith, J.
Format: Journal Article
Published: IEEE 2006
Subjects:
haptic feedback
Analogy systems
(CNNs)
cellular neural networks
deformation
Online Access:http://hdl.handle.net/20.500.11937/39838

Internet

http://hdl.handle.net/20.500.11937/39838

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