6.801 / 6.866 Machine Vision

As taught in: Fall 2004

A diagram and a chart of the interpolation of the gradient peak of E.

Pixel field overlaid with direction of steepest ascent, and interpolation of its gradient (E') peak. (Image courtesy of MIT OCW.)


Undergraduate / Graduate


Prof. Berthold Horn

Course Features

Course Description

Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. Lectures describe the physics of image formation, motion vision, and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps. Further topics include photogrammetry, object representation alignment, analog VLSI and computational vision. Applications to robotics and intelligent machine interaction are discussed.

*Some translations represent previous versions of courses.