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Title : 6.801 Machine Vision (MIT)

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.

Fromsemester : Fall

Fromyear : 2004

Creator :

Date : 2005-03-17T19:53:38+05:00

Relation : 6.801

Relation : 6.866

Language : en-US

Subject : machine vision

Subject : image formation physics

Subject : image analysis

Subject : binary image processing

Subject : image filtering

Subject : recovering

Subject : shape

Subject : lightness

Subject : orientation

Subject : motion

Subject : photometric stereo

Subject : extended Gaussian

Subject : environment interaction

Subject : motion vision

Subject : shape from shading

Subject : photogrammetry

Subject : stereo

Subject : object representation alignment

Subject : analog VLSI

Subject : computational vision

Subject : robot vision

Publisher : MIT OpenCourseWare

License : Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see