6.801 Machine Vision (Fall 2020, MIT OCW). Instructor: Prof. Berthold Horn. 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.
(from ocw.mit.edu)
Instructor: Prof. Berthold Horn. In this lecture, we discuss another patent on object inspection and pose estimation, known as PatMax. We look at computing distance to lines to perform better edge detection and the role of sparse convolution for multiscale systems that perform filtering.