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15th International Conference on Pattern Recognition (ICPR'00) - Volume 3
Model-Based Nonrigid Motion Analysis Using Natural Feature Adaptive Mesh
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
Yong Zhang, University of South Florida
Dmitry B. Goldgof, University of South Florida
Sudeep Sarkar, University of South Florida
Leonid V. Tsap, Lawrence Livermore National Laboratory
The success of non-rigid motion analysis using physical finite element model is dependent on the mesh that characterizes the object's geometric structure. We suggest a deformable mesh adapted to the natural features of images. The adaptive mesh requires much fewer numbers of nodes than the fixed mesh, which was used in our previous work. We demonstrate the higher efficiency of the adaptive mesh in the context of estimating burn scar elasticity relative to normal skin elasticity using the observed 2D image sequence. Our results show that the scar assessment method based on the physical model using natural feature adaptive mesh can be applied to images, which do not have artificial markers.
Citation:
Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, "Model-Based Nonrigid Motion Analysis Using Natural Feature Adaptive Mesh," icpr, vol. 3, pp.3839, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000
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