Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

27

ICIAR
2009
Springer

favoriteEmaildiscussreport

150views Image Analysis» more ICIAR 2009»

Modeling of Elastic Behavior of 3D Deformable Objects from Range and Tactile Imaging

14 years 5 months ago

Modeling of Elastic Behavior of 3D Deformable Objects from Range and Tactile Imaging

Download www.site.uottawa.ca

The paper presents a joint sensing strategy that combines tactile probing and range imaging for the mapping of the elastic properties that characterize 3D deformable objects. A feedforward neural network architecture is employed in an original manner to model the complex relationship between the surface deformation and the forces exemplified in non-rigid bodies. Experimental results are presented for objects made of materials with different elastic behaviors and for their different deformation stages.

Ana-Maria Cretu, Pierre Payeur, Emil M. Petriu

Real-time Traffic

Deformable Objects | Feedforward Neural Network | ICIAR 2009 | Image | Joint Sensing Strategy |

claim paper

Related Content

» Estimation of Elastic Constants from 3D RangeFlow

» Haptic Human Interfaces for Robotic Telemanipulation

» 3D Object Representation from MultiView Range Data Applying Deformable Superquadrics

» Interactive Construction and Animation of Layered Elastically Deformable Characters

» Active Volume Models for 3D Medical Image Segmentation

» Deformable Object Tracking Using the Boundary Element Method

» Modeling shapes and textures from images new frontiers

» Deformable Modeling for Characterizing Biomedical Shape Changes

» Constrained Elastic Surface Nets Generating Smooth Surfaces from Binary Segmented Data

Post Info
More Details (n/a)

Added	26 May 2010
Updated	26 May 2010
Type	Conference
Year	2009
Where	ICIAR
Authors	Ana-Maria Cretu, Pierre Payeur, Emil M. Petriu

Comments (0)