METE 4500U – Machine Vision for Robotic Systems

This course investigates the fundamentals of applying machine vision to solving problems related to the kinematics of robotic mechanical systems. The course provides an introduction to the fundamentals of machine vision such as image formation, binary morphology, linear filtering, and signal processing. This is followed by the fundamentals of imaging geometry including projective geometry, approximation theory, and fitting geometric objects to point clouds. The aim of the course is to apply the techniques to be learned in order to use digital cameras as high precision measurement devices. Practical applications in robotics are investigated such as robot calibration, pose estimation, and trajectory tracking.
Credit hours: 3
Lecture hours: 3
Prerequisite(s): MANE 4280U