A novel geometric approach for three dimensional object segmentation is presented. The scheme is based on geometric deformable surfaces moving towards the objects to be detected. We show that this model is equivalent to the computation of surfaces of minimal area (local minimal surfaces) in a Riemannian space. This space is deened by a metric induced from the three dimensional image in which th...

Deformable models like snakes are a classical tool for image segmentation. Highly deformable models extend them with the ability to handle dynamic topological changes, and therefore to extract arbitrary complex shapes. However, the resolution of these models largely depends on the resolution of the image. As a consequence, their time and memory complexity increases at least as fast as the size ...

Just a test. We present an algorithm for path planning for a flexible robot in complex environments. Our algorithm computes a collision free path by taking into account geometric and physical constraints, including obstacle avoidance, nonpenetration constraint, volume preservation, surface tension, and energy minimization. We describe a new algorithm for collision detection between a deformable...

Accurate reconstruction of the cortical surface of the brain from magnetic resonance images is an important objective in biomedical image analysis. Parametric deformable surface models are usually used because they incorporate prior information, yield subvoxel accuracy, and automatically preserve topology. These algorithms are very computationally costly, however, particularly if selfintersecti...

This paper develops a general approach for the efficient modeling and animation of non-rigid multibody objects. We develop a new family of physics-based modeling primitives that can undergo free motions as well as parameterized and free-form deformations. Starting with parameterized geometric primitives and adding global geometric deformations, local finite-element deformations, mass distributi...

ÐAn active contour (snake) model is presented, with emphasis on medical imaging applications. There are three main novelties in the proposed model. First, an attribute vector is used to characterize the geometric structure around each point of the snake model; the deformable model then deforms in a way that seeks regions with similar attribute vectors. This is in contrast to most deformable mod...

This paper describes an effective and intuitive method to control deformable objects using geometric constraints. To achieve a natural and plausible interaction with deformable objects and to setup the desirable initial conditions of simulation, users should be able to define and control the geometric constraints intuitively. Users should be able to utilize the simulation as a problem solving p...

BACKGROUND Environmental cadmium (Cd) exposure is associated with type 2 diabetes. However, the association of Cd and gestational diabetes mellitus (GDM) is unknown. OBJECTIVES We examined the association between body burden of Cd and GDM risk. METHODS We used 140 GDM cases and 481 randomly selected noncase subcohort members from the Omega Study to conduct a case-cohort study. Creatinine (C...

This paper describes how the concept of imposing geometric constraints by minimizing cost functions may be utilized and extended to accomplish a variety of animated modeling tasks for computer graphics. In this approach a complex 3-D geometric problem is mapped into a scalar minimization formulation. The mapping provides a straightforward method for converting abstract geometric concepts into a...