A framework for soft tissue deformation recovery is presented and tested on both simulated and real data. The core of the approach is a volumetric deformable model based on the biomechanics of the material. Often, e.g. in medical applications, the deformation is very complex and dependent on many factors. In such cases, in order to reliably estimate the deformation, the model has to be guided b...

In this paper, we present an approach for an unsupervised learning of probabilistic deformation modes of 2D moving objects from image sequences. The object representation relies on a statistical description of global and local deformations applied to an a priori prototype shape. The optimal bayesian estimate of the deformation process is obtained by maximizing a nonlinear joint probability dist...

Studies on deformation characteristics of early-age Jointed Plain Concrete Pavements (JPCP) due to environmental effects have drawn significant interest over the years. However, the complex nature of the problem arising from interacting environmental factors has resulted in difficulties in predicting the JPCP deformation characteristics. This study introduces a simplified approach for predictin...

The deformable template method obtains a deformation function that maps a template onto an observed image. The method simulates the deformation function using a penalised least squares method and a Markov Chain Monte Carlo Algorithm. The conventional modelling of the deformation uses a Fourier basis. We propose an approach that expresses the deformation in terms of a wavelet basis, that utilise...

There are mainly two methods of deep drawing analysis; experimental and analytical/numerical. Experimental analysis can be useful in analyzing the process to determine the process parameters that produce a defect free product, and the analytical/numerical modeling can be used to model and analyze the process through all stages of deformation. This approach is less time consuming and more econom...

Our approach integrates three mechanisms needed to model and animate deformable objects: controlling mechanisms, geometric surface deformation, and mesh refinement. Most approaches focus either modeling physically correct behavior or alternative representations for deformable models. This results in a set of method specific algorithms that best represents a particular class of deformable object...