Objects deform in response to contact forces exerted on them. The deformation depends on material properties, the geometry of the object and external forces. This thesis develops a robotic system for automatically acquiring observations of a deforming object and for estimating a model of the deformation from these observations. Models of deformable objects are in wide-spread use in simulation, ...

This paper presents an approach for image segmentation using Minimum Description Length (MDL) principle and integrating region growing, region boundary fitting, model selection in an integrated manner, on which the final result is a kind of compromise of various sources of knowledge such as the original grey level image and deformable object models. The deformable model is a closed polygon depi...

The interactions of deformable drops in cavity flows is studied numerically in the limit of low Reynolds numbers for a two-dimensional model. Flow in a square cavity is driven by the steady motion of one of the walls. Deformable drops will migrate across streamlines until they reach an equilibrium trajectory or equilibrium position; the rate and direction of migration depend on both the viscosi...

Using a force feedback device within the framework of deformable object simulation remains difficult because of the incompatibility between the computation time needed by realistic deformable models and high refresh frequencies necessary for real-time haptic rendering. Giving the user a good haptic sensation requires refreshing the applied forces at least ten times more often than for giving a ...

We present a statistical method for the motion-based segmentation of deformable structures undergoing non-rigid movements. The proposed approach relies on two models describing the shape of interest, its variability and its movement. The rst model corresponds to a statistical deformable template that constrains the shape and its deformations. The second model is introduced to represent the opti...

Automatic cell identification and segmentation are important steps for medical automation to greatly reduce human labors. The paper used a statistical model solving the practical issues in this problem, including construction of a training set, cell shape generalization, deformable model building, cell searching and segmentation. Practical experiments prove the validity of the proposed scheme. ...

Medical image analysis technology, with image segmentation, image matching /registration, motion tracking and the measurement of anatomical and physiological parameters as the main research areas, has seen a tremendous amount of growth over the past decade. The work described in this chapter is concerned with the problem of automatically aligning 3D medical images. Image registration is one of ...

In this paper a new hybrid deformable model for haptic interactions is presented. The main idea is to use a two layer deformable model for the virtual object which will be manipulated with a haptic tool by the user, when the external force is applied on the surface area. With this approach, deformation is modelled both using a continuous model, based on Finite Element Methods, and a discrete mo...