Solid Modeling

Selective Laser Sintering (SLS) produces three-dimensional objects directly from a computer-aided design (CAD) solid model, without part-specific tooling, by repeatedly depositing thin layers of fusible powder and selectively sintering each layer to the next with a ...

Geometric computing is a rapidly evolving interdisciplinary field involving computer science, engineering and mathematics. It has relationships to many other areas within computer science such as computational geometry, computer-aided design, computer graphics, computer ...

Fast, realistic physically based deformable models are required for real time Virtual Reality applications such as surgical simulators. The main focus of this paper is to introduce a new deformable model called NDM that is fast enough to allow interactive frame rates and plausible deformation. The NDM is integrated in an interactive Cataract Eye Surgery Simulator (CESS), which is used to model the deformation of eye tissues when it is manipulated with surgical instrument. The deformation is modelled as the transmission of the force from the manipulated vertex to its adjacent neighbors and from those neighbors to their neighbors and so on, also the deformation can be simulated locally or globally. The NDM is tested on virtual objects those modeled as a surface mesh. The model is implemented in C programming language and uses GLUT and GLUI for the graphical user interface, OpenGL for visualization, and runs on a single personal computer. The simulation results obtained from the proposed NDM shows that the later outperform the traditional mass spring model in term of computational time. Keywords—Deformation, Soft tissue modelling, surgery simulation.

This paper describes a methodology to integrate design and manufacturing using feature recognition technique for achieving some concurrent engineering goals. the input of the feature recognition is the boundary representation (B-Rep) of solid models. The features considered in this work are protrusion and depression type of prismatic components. the feature's faces are planar, cylindrical and hybrid. The recognized features are to be used for downstream manufacturing application

Digital cameras are convenient image acquisition devices: they are fast, versatile, mobile, do not touch the object, and are relatively cheap. In OCR applications, however, digital cameras suffer from a number of limitations, like geometrical distortions. In this paper, we deal with the preprocessing step before text recognition, specifically with images from a digital camera. Experiments, performed with the FineReader 7.0 software as the back-end recognition tool, confirm importance of image preprocessing in OCR applications.