in this paper, we propose a novel method for fully automatic detection and tracking of human heads and faces in video sequences. the proposed algorithm consists of two modules: a face detection module and a face tracking module. the detection module, detects the face region and approximates it with an ellipse at the first frame using a modified version of adaboost cascaded classifier. the detec...

Many graphics applications represent deformable surfaces through dynamic meshes. To be consistent during deformations, the dynamic meshes require an adaptation process. In this paper we present a simple and flexible framework to adapt dynamic meshes following deformable surfaces. Our scheme combines normal and tangential geometric corrections with refinement and simplification resolution contro...

In this article, two possible ways to build volumetric meshes of simplexes are described. One structure uses the crystalline organization of carbon atoms in diamond and it is used to simulate the deformation under internal pressure of a container. The second structure is in layers and it is used to simulate human body tissues that could be cut. We also describe the cutting process for this laye...

A high-order spectral difference (SD) method has been further extended to solve the three dimensional compressible Navier–Stokes (N–S) equations on deformable dynamic meshes. In the SD method, the solution is approximated with piece-wise continuous polynomials. The elements are coupled with common Riemann fluxes at element interfaces. The extension to deformable elements necessitates a time-dep...

In this paper, we present a method for deformable object tracking that exploits the entire image information using the optical flow equation instead of working with discrete feature points. Our method starts from the optical flow constraint and first estimates global transformations in a hierarchical framework. Elastic deformations are then estimated separately using deformable meshes and spati...

Fast Relabeling of Deformable Delaunay Tetrahedral Meshes Using a Compact Uniform Grid David C. Frogley Department of Computer Science, BYU Master of Science We address the problem of fast relabeling of deformable Delaunay tetrahedral meshes using a compact uniform grid, with CPU parallelization through OpenMP. This problem is important in visualizing the simulation of deformable objects and ar...

This paper presents an approach to performing time-critical collision detection for deformable objects. The deformable objects are represented by dense meshes and their deformations are steered by a coarser mesh (reduced model) based on explicit finite elements, to achieve an interruptible algorithm, we use a sphere tree constructed using an adaptive medial-axis approximation of the dense mesh....

Particle systems have been widely employed to simulate deformable objects, most prominently virtual textiles. In this paper we introduce particle systems that adaptively generate new particles wherever this is required to model collisions correctly. When coarse meshes collide with an object they are automatically refined. Therefore this model allows physically accurate simulations that require ...

This paper presents a method to interactively deform volume images with heterogeneous structural content, using coarse tetrahedral meshes. It rests on two major components: a massively parallel algorithm for the rasterization of tetrahedral meshes, and a method to define a coarse deformable tetrahedral mesh from the homogenization of a fine heterogeneous mesh. We show the potential of the metho...

We propose a novel GPU-based approach to render virtual X-ray projections of deformable tetrahedral meshes. These meshes represent the shape and the internal density distribution of a particular anatomical structure and are derived from statistical shape and intensity models (SSIMs). We apply our method to improve the geometric reconstruction of 3D anatomy (e.g. pelvic bone) from 2D X-ray image...