Center for Human Modeling and Simulation
Document Type
Conference Paper
Date of this Version
June 1994
Abstract
This paper develops a new class of physics-based deformable models which can deform both globally and locally. Their global parameters are functions allowing the definition of new parameterized primitives and parameterized global deformations. These new global parameter functions improve the accuracy of shape description through the use of a few intuitive parameters such as functional bending and twisting. Using a physics-based approach we convert these geometric models into deformable models that deform due to forces exerted from the datapoints so as to conform to the given dataset. We present an experiment involving the extraction of shape and motion of the Left Ventricle (LV) of a heart from MRI-SPAMM data based on a few global parameter functions.
Recommended Citation
Park, J., Metaxas, D., & Young, A. (1994). Deformable Models with Parameter Functions: Application to Heart Wall Modeling. Retrieved from https://repository.upenn.edu/hms/59
Date Posted: 24 July 2007
This document has been peer reviewed.
Comments
Copyright 1994 IEEE. Reprinted from Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 437-442.
Publisher URL: http://dx.doi.org/10.1109/CVPR.1994.323863
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