You are here

CVPI: A Computer Vision Library For Mobile and Embedded Platforms

Picture: 
Motion detection frame.
Logo and platforms.
Students: 
Devin Homan
Faculty Advisor or Community Project Lead: 
Kenrick Mock Ph.D, Professor
Academic Year: 
Discipline: 

CVPI is a library for implementing computer vision programs on computers supporting
OpenVG. It adds additional image processing capabilities to OpenVG that are necessary for
computer vision, as well a as providing an interface to setup the rendering environment.
OpenVG is a hardware accelerated C API for vector and raster 2D graphics. It is
widely supported on mobile and on embedded platforms. The project code is available at
github.com/dwhoman/CVPI.