Abstract
Finite element method is a well-known approach in soft tissue modeling. However, it introduces nonconforming deformations for a soft tissue in different resolutions in response to the same applied force. These deformations make the approach inefficient in data-driven enrichment schemes which demand more accurate conforming models of an object in both low and high resolutions at the same time. This paper presents two methods based on (1) Sampling and (2) Barycentric mapping to overcome this problem and to generate geometrically conforming deformations in different resolutions. In proposed methods, first, the soft tissue is modeled in high resolution by using finite element method to achieve the desired accuracy. The coordinates of this accurate model are then used to find the corresponding coordinates of the coarse model. This step is done by using either Sampling or Barycentric mapping. Quantitative evaluation of the simulation results confirms the efficiency of suggested methods in modeling geometrically conforming soft tissues in different resolutions.
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