A cellular neural network methodology for deformable object simulation

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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

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