6.801 Machine Vision
Deriving a symbolic description of the environment from an image. Understanding physics of image formation. Image analysis as an inversion problem. Binary image processing and filtering of images as preprocessing steps. Recovering shape, lightness, orientation, and motion. Using constraints to reduce the ambiguity. Photometric stereo and extended Gaussian sphere. Applications to robotics; intelligent interaction of machines with their environment. Students taking the graduate version complete different assignments.
This class has 6.003 as a prerequisite.
6.801 will not be offered this semester. It will be available in the Fall semester, and will be instructed by B. K. P. Horn.
Lecture occurs 9:30 AM to 11:00 AM on Tuesdays and Thursdays in 32-124.
This class counts for a total of 12 credits.
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