Deformable Object Behavior Reconstruction Derived Through Simultaneous Geometric and Material Property Estimation
نویسندگان
چکیده
We present a methodology of accurately reconstructing the deformation and surface characteristics of a scanned 3D model recorded in real-time within a Finite Element Model (FEM) simulation. Based on a sequence of generated surface deformations defining a reference animation, we illustrate the ability to accurately replicate the deformation behavior of an object composed of an unknown homogeneous elastic material. We then formulate the procedural generation of the internal geometric structure and material parameterization required to achieve the recorded deformation behavior as a non-linear optimization problem. In this formulation the geometric distribution (quality) and density of tetrahedral components are simultaneously optimized with the elastic material parameters (Young’s Modulus and Possion’s ratio) of a procedurally generated FEM model to provide the optimal deformation behavior with respect to the recorded surface.
منابع مشابه
Improving the Scope of Deformable Model Shape and Motion Estimation
Previous approaches to deformable model shape estimation and tracking have assumed a fixed class of shapes representation (e.g., deformable superquadrics), initialized prior to tracking. Since the shape coverage of the model is fixed, such approaches do not directly accommodate incremental representation discovery during tracking. As a result, model shape coverage is decoupled from tracking, th...
متن کاملSimultaneous Reconstruction and 3d Motion
of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy SIMULTANEOUS RECONSTRUCTION AND 3D MOTION ESTIMATION FOR GATED MYOCARDIAL EMISSION TOMOGRAPHY By Zixiong Cao December 2003 Chair: David Gilland Major Department: Biomedical Engineering A new method for simultaneous image reconstruction a...
متن کاملToward a Coherent Statistical Framework for Dense Deformable Template Estimation
The problem of estimating probabilistic deformable template models in the field of computer vision or of probabilistic atlases in the field of computational anatomy has not yet received a coherent statistical formulation and remains a challenge. In this paper, we provide a careful definition and analysis of a well defined statistical model based on dense deformable templates for gray level imag...
متن کاملSimultaneous estimation of elasticity for multiple deformable bodies
Material property has great importance in deformable body simulation and medical robotics. The elasticity parameters, such as Young's modulus of the deformable bodies, are important to make realistic animations. Further in medical applications the (recovered) elasticity parameters can assist surgeons to perform better pre-op surgical planning and enable medical robots to carry out personalized ...
متن کاملUncertainty assessment for reconstructions based on deformable models
Deformable geometric models can be used in the context of Bayesian analysis to solve ill-posed tomographic reconstruction problems. The uncertainties associated with a Bayesian analysis may be assessed by generating a set of random samples from the posterior, which may be accomplished using a Markov-Chain Monte-Carlo (MCMC) technique. We demonstrate the combination of these techniques for a rec...
متن کامل