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Table of Contents
Ongoing projects
Low-Cost Three-Dimensional Face Scanning System
Supervisor: James Elder
Requirements: Interest in both hardware and software design at the systems level.
Description
Low-cost three-dimensional face-scanning systems have a large range of potential applications in security and retail markets. Our laboratory at York University has recently developed a prototype face-scanning system that has the potential for very low-cost mass production. This project involves the development of a second-stage prototype that is one-step closer to commercialization.
The project will involve systems design and development of a specialized real-time 3D face scanner. A combination of hardware and software design will be required. The student will work closely with graduate students and postdoctoral fellows at York University, as well as researchers at other institutions involved in the project. The student will develop skills in both hardware and software design, as well as computer-vision techniques.
For more information on the laboratory: http://www.elderlab.yorku.ca
Simulation of a 6dof virtual reality tracker
Supervisor: Wolfgang Stuerzlinger
Required Background: General CSE4080 prerequisites
Recommended Background: CSE3431 or equivalent
Description
Previous work by the supervisor resulted in a novel and highly accurate Virtual Reality tracking system that matches or exceeds the specifications of all competing systems. However, this system works only in 5 or 6-sided immersive display environment.
This project is the first step towards an adaptation of the technology for more general environments. In particular we target normal rooms and immersive displays with less than 5 screens. The technical work involves adapting the simulation software for the previous device to simulate a new design, and iteratively optimizing that design based on the results obtained.
Programming Multi-Core GPUs with CUDA
Supervisor: Franck van Breugel
Required background: General prerequisites
Recommended background: N/A
Description
CUDA stands for “compute unified device architecture.” It is an architecture to program multicore graphical processing units (GPUs for short). In the past, these GPUs were only used for graphics. However, CUDA allows us to use these GPUs for other types of computation. Since today's GPUs have hundreds of cores, algorithms can be parallelized and, hence, run often much faster.
The aim of this project is to get familiar with GPUs and to study how to program them.
More details can be found at: http://www.cse.yorku.ca/~franck/projects/cuda.html (this link is only accessible from machines within the domain yorku.ca.)