DocumentCode
1640138
Title
Deformable object tracking using the boundary element method
Author
Greminger, Michael A. ; Nelson, Bradley J.
Author_Institution
Dept. of Mech. Eng., Univ. of Minnesota, Minneapolis, MN, USA
Volume
1
fYear
2003
Abstract
This paper presents a method to perform 2D (two-dimensional) deformable object tracking using the boundary element method (BEM). BEM, like the finite element method (FEM), is a technique to model an elastic solid. BEM differs from FEM in that only the contour of an object needs to be meshed for BEM, making this method attractive for computer vision problems. For FEM, the interior of the object must be meshed also. In order to track deformable objects, a deformable template is defined that uses BEM to model displacements. The template is registered to the image by applying a force field that deforms the template to match the image. This force field is found using an energy minimization approach. Even though the deformable template uses a linear elastic model, it can be used to track the deformations of objects with nonlinear material properties or in cases where there are large deformations. We demonstrate the performance of this method on objects with linear and nonlinear elastic properties. In addition, it is discussed how this method can be readily extended to 3D (three-dimensional) deformable object tracking.
Keywords
boundary-elements methods; computer vision; mesh generation; object detection; solid modelling; 2D deformable object; BEM; boundary element method; computer vision; deformable template; elastic solid modeling; energy minimization; image matching; model displacement; nonlinear elastic model; object mesh; object tracking; Boundary element methods; Computer vision; Deformable models; Finite element methods; Image edge detection; Integral equations; Intelligent robots; Mechanical engineering; Partitioning algorithms; Stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
ISSN
1063-6919
Print_ISBN
0-7695-1900-8
Type
conf
DOI
10.1109/CVPR.2003.1211366
Filename
1211366
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