Pixel field overlaid with direction of steepest ascent, and interpolation of its gradient (E') peak. (Image courtesy of MIT OCW.)
This course features a set of lecture notes
. Related readings
, many authored by the instructor, are included also. The topics follow closely the instructor's textbook.
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.