6.801 | Fall 2020 | Undergraduate

Machine Vision

Course Description

This course is an introduction to the process of generating a symbolic description of the environment from an image. It covers the physics of image formation, image analysis, binary image processing, and filtering. Machine vision has applications in robotics and the intelligent interaction of machines with their …
This course is an introduction to the process of generating a symbolic description of the environment from an image. It covers the physics of image formation, image analysis, binary image processing, and filtering. Machine vision has applications in robotics and the intelligent interaction of machines with their environment. Students taking the graduate version complete additional assignments.
Learning Resource Types
Problem Sets
Exams
Lecture Notes
Projects
Left circle with concentric brightness pattern and right circle with pie-chart brightness pattern.
This course covers rotational optical flow. The brightness pattern is radially symmetric about the center point in the left circle, while in the right the brightness pattern is constant along radii. (Image courtesy of the instructor.)