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.

Resource Type:
Lecture Notes
pdf
1 MB
Vision - Feature Extraction I

Course Info

Fall 2004
Activity Assignments
Lecture Notes
Presentation Assignments
Simulation Videos