6.801/6.866 Machine Vision

Prerequisites

• Signals and Systems (6.003)
• Familiarity with linear algebra (18.06) and probability (6.041)
• Some Matlab experience

Textbooks

Both texts are available at Quantum Books:

• D. Forsyth and J. Ponce, Computer Vision: A Modern Approach, Prentice Hall, 2002.
• B. Horn, Robot Vision, MIT Press, 1986. (errata)

Grading

• Two take-home exams
• Four problem sets with lab exercises in Matlab
• No final exam
• Final project for graduate students (6.866)

Problem sets may be discussed, but all written work and coding must be done individually. Take-home exams may not be discussed. Individuals found submitting duplicate or substantially similar materials due to inappropriate collaboration may get an F in this class and other sanctions.

	Take-Home Exams (2)	Problem Sets (4)	Final Project
6.801	60%	40%	N/A
6.866	40%	30%	30%

The final project may be

• An original implementation of a new or published idea
• A detailed empirical evaluation of an existing implementation of one or more methods
• A paper comparing three or more papers not covered in class, or surveying recent literature in a particular area

A project proposal not longer than two pages must be submitted and approved before the end of October.