lanar polyhedra are used for geometric P modeling of solid objects in a wide variety of applications. A major benefit of modeling with polyhedral meshes lies in the simplicity of the representation. Since planar polygons-and triangles in particular-are standard rendering primitives, they are especially useful in modeling objects for visualization. A fundamental disadvantage, however, is that ma...

The problem of realistic face animation is a difficult one. This is hampering a further breakthrough of some high-tech domains, such as special effects in the movies, the use of 3D face models in communications, the use of avatars and likenesses in virtual reality, and the production of games with more subtle scenarios. This work attempts to improve on the current stateof-the-art in face animat...

Reservoir modeling is the process of generating numerical representations of reservoir conditions and properties on the basis of geological, geophysical, and engineering data measured on the Earth’s surface or in depth at a limited number of borehole locations. Therefore, reservoir modeling requires an incorporation of the data from a variety of sources, along with an integration of knowledge a...

The advent of 3D printers has been embraced globally within few years of its emergence. The surge in the acceptability of rapid manufacturing RM technology can be attributed to the depletion and cost of natural resources, waste reduction and sustainability criterion of manufactured parts. This rapidly evolving 3D printing technologies is predicted to grow exponentially especially for the manufa...

This paper proposes a 3D model based pose invariant face recognition method that can recognize a face of a large rotation angle from its single nearly frontal view. The proposed method achieves the goal by using an analytic-to-holistic approach and a novel algorithm for estimation of ear points. Firstly, the proposed method achieves facial feature detection, in which an edge map based algorithm...

3D face recognition is an open field. In this paper we present a method for 3D facial recognition based on Principal Components Analysis. The method uses a relatively large number of facial measurements and ratios and yields reliable recognition. We also highlight our approach to sensor development for fast 3D model acquisition and automatic facial feature extraction.

The complex organic forms we find in nature are typically difficult to geometrically model using traditional 3D modelling tools. This is because they often have complex surfaces and large number of components, which are tedious to create when manipulating the geometric model directly. One approach to this problem is to generate the geometry through simulation. The Simplicial Developmental Syste...

Several existing procedural modeling systems are able to generate large 3D models of cities. However, none of these systems can automatically create 3D models of freeways and freeway interchanges, even though these are important features in 3D urban landscape. We have implemented a system that automatically creates 3D models of road surfaces, bridges, tunnels, freeways, and freeway interchanges...

The problem of 3D face recognition has received a growing interest in the past decades. While proposed approaches have proven their efficiency over renowned databases as FRGC, little work has been conducted on the robustness of such algorithm to the quality of 3D models. In this work, we present a study of the robustness of our 3D face recognition algorithm, namely MS-ELBP+SIFT, to face model d...