Date of Award
6-1-2015
Document Type
Thesis
Publisher
Santa Clara : Santa Clara University
Department
Computer Engineering
First Advisor
Maria Pantoja
Abstract
A major part of having correct pronunciation when learning a new language is moving your lips in the correct way. This is a difficult thing to learn and to teach. One solution to this is software which tracks a student's lip movements and provides feedback. This paper describes how we have created a C++ library to accurately track lips in provided images. Further, this library attempts to use a CUDA-enabled GPU implementation to improve the algorithm's performance. It will fall back on a CPU implementation if such a GPU is not found. As a result, the lip tracking library runs on Windows, Linux, and OS X, as well as Android devices.
Recommended Citation
DeBoui, Alex and Harder, Jesse, "GPU-accelerated lip-tracking library" (2015). Computer Science and Engineering Senior Theses. 49.
https://scholarcommons.scu.edu/cseng_senior/49