9.913 | Fall 2004 | Graduate

Pattern Recognition for Machine Vision

Lecture Notes

Vision - Feature Extraction I

Description:

Lecture presentation on feature extraction in machine vision. Topics include: Importance of Features, Mathematical Notation & Background, Fourier Transform, Windowed Fourier Transform, Wavelets, Feature Anecdote, Literature, and Homework.

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Lecture Notes
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Vision - Feature Extraction I

Course Info

As Taught In
Fall 2004
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Lecture Notes
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