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Reconstructing the Shape of a Deformable Membrane from Image Data.

Authors :
Ferrier, Nicola J.
Brockett, Roger W.
Source :
International Journal of Robotics Research. Sep2000, Vol. 19 Issue 9, p795. 22p. 3 Black and White Photographs, 6 Diagrams, 1 Chart, 12 Graphs.
Publication Year :
2000

Abstract

In this paper, we study the problem of determining a mathematical description of the surface defined by the shape of a membrane based on an image o fit and present an algorithm for reconstructing the surface when the membrane is deformed by unknown external elements. The given data are the projection on an image plane of markings on the surface of the membrane, the undeformed configuration of the membrane, and a model for the membrane mechanics. The method of reconstruction is based on the principle that the shape assumed by the membrane will minimize the elastic energy stored in the membrane subject to the constraints implied by the measurements. Energy minimization leads to a set of nonlinear partial differential equations. An approximate solution is found using linearization. The initial motivation, and our first application of these ideas, comes from tactile sensing. Experimental results affirm that this approach can be very effective in this context. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02783649
Volume :
19
Issue :
9
Database :
Academic Search Index
Journal :
International Journal of Robotics Research
Publication Type :
Academic Journal
Accession number :
3503940
Full Text :
https://doi.org/10.1177/02783640022067184