A new method is proposed to automatically segment out a person's face from a given sequence of images that consists of a head-and-shoulder view, using the Fast Marching Level Set approach. The method proposed here involves a fast, reliable and computationally efficient algorithm, which exploits the colour information in an image to segment the face region. The colour information is derived and ...

A numerical technique for modeling fatigue crack propagation of multiple coplanar cracks is presented. The proposed method couples the extended finite element method (X-FEM) [Int. J. Numer. Meth. Engng. 48 (11) (2000) 1549] to the fast marching method (FMM) [Level Set Methods & Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials ...

An invertible Euclidean reconstruction method for a 2D curve is proposed. Hints on an extension to 3D are provided. The framework of this method is the discrete analytical geometry. The reconstruction result is more compact than classical methods such as the Marching Cubes. The notions of discrete cups and patches are introduced.

Article history: Received 14 February 2014 Received in revised form 4 June 2014 Accepted 12 June 2014 Available online 19 June 2014

Fast Marching represents a very efficient technique for solving front propagation problems, which can be formulated as partial differential equations with Dirichlet boundary conditions, called Eikonal equation:

The evolution of a wavefront propagating in a two dimensional inhomogeneous isotropic medium with sound speed F = F (x, y) is governed by the Eikonal equation (EE) |∇T | = 1

The article focuses on modification of traditional Marching cubes algorithm for medical applications. Main disadvantage of the traditional algorithm is size of models. A reduction process has been added to the MC to produce much smaller models. The reduction process is applied during the MC, after processing of each input data layer. Resulting models are 4-5 times smaller in only doubled time.

In this paper we revisit the computation and visualization of equivalents to isocontours in uncertain scalar fields. We model uncertainty by discrete random fields and, in contrast to previous methods, also take arbitrary spatial correlations into account. Starting with joint distributions of the random variables associated to the sample locations, we compute level crossing probabilities for ce...

The demands related to Volumetric Models are increasing rapidly due to the availability of 3D scanner, but its application in the manipulation of volumetric data raises several issues that need to be addressed. The fundamental of manipulating volumetric data includes isosurface extraction, while sharp features of 3D models are well preserved with Extended Marching Cubes algorithm (EMC). However...