EE/CNS148 *

(*The course is registered as EE/CNS150)


Advanced Topics in Vision.
Visual Recognition.

Summary:

Can we teach a machine to recognize frogs, motorcycles and kitchens in images? Such a machine could help us to drive our car, organize our home video collection or search the web by image content. We will explore the current literature on automatic visual recognition with an emphasis on statistical methods. During the course of the quarter the students will develop their own system for recognizing objects, object categories and scenes in images.

Please send all questions/comments with respect to the class to Alex Holub directly.

Prerequisites: Some familiarity with either Matlab or C/C++ computer programming. General mathematical maturity is beneficial, including familiarity with probability theory, differential equations, and linear algebra.
Grading: 60% Project, 25% Homework, 15% Paper Presentation
Instructor:
Pietro Perona
TA:
Alex Holub
Time and Place:
Tues-Thurs 10:30-12, 102 STL
 
Details:

Papers
Class organization
Lecture Notes
References
Homework Assignments
Syllabus
Projects