Automatic deformation transfer for data-driven haptic rendering

Farag, Sara, Abdelrahman, Wael, Creighton, Douglas and Nahavandi, Saeid 2013, Automatic deformation transfer for data-driven haptic rendering, in INDIN 2013 : Proceedings of the 2013 11th IEEE International Conference on Industrial Informatics, IEEE, Piscataway, N.J., pp. 264-269.

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Title Automatic deformation transfer for data-driven haptic rendering
Author(s) Farag, Sara
Abdelrahman, Wael
Creighton, Douglas
Nahavandi, Saeid
Conference name IEEE International Conference on Industrial Informatics (11th : 2013 : Bochum, Germany)
Conference location Bochum, Germany
Conference dates 29-31 Jul. 2013
Title of proceedings INDIN 2013 : Proceedings of the 2013 11th IEEE International Conference on Industrial Informatics
Editor(s) [Unknown]
Publication date 2013
Conference series IEEE International Conference on Industrial Informatics
Start page 264
End page 269
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Summary This paper addresses a major challenge in datadriven haptic modeling of deformable objects. Data-driven modelling is done for specific objects and is difficult to generalize for nearly isometric objects that have similarities in semantics or topology. This limitation prevents the wide use of the data-driven modeling techniques when compared with parametric methods such as finite element methods. The proposed solution is to incorporate deformation transfer methods when processing similar instances. The contributions of this work are focused on the novel automatic shape correspondence method that overcomes the problems of symmetry and semantics presence requirement. The results shows that the proposed algorithm can efficiently calculate the correspondence and transfer deformations for a range of similar 3D objects.
ISBN 9781479907519
Language eng
Field of Research 080103 Computer Graphics
Socio Economic Objective 890202 Application Tools and System Utilities
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2013, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30057178

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
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