6.819/6.869 Advances in Computer Vision
Fall 2014
Instructors: William T Freeman, Antonio Torralba
TAs: Yusuf Aytar, Aditya Khosla, Aude Oliva, Andrew Hale Owens, Carl Martin Vondrick, Bolei Zhou
Lecture: TR1-2.30 (32-155)
Information:
This course covers fundamental and advanced topics in computer vision with a focus on image statistics, machine learning techniques, and applied vision for graphics. Topics include image representations, frequency analysis, texture models, shape-from-X algorithms, Bayesian inference, object and scene recognition, motion estimation and tracking, multi-view geometry, and image databases. Covers topics complementary to 6.801/6.866; these subjects may be taken in either order.
We'll use Stellar for grading and problem sets. Please refer to the class homepage for office hours, the course schedule, and everything else.
Announcements
Problem Set 2
We have posted the second problem set on Stellar. Please note that it will require more work than the first one, so we suggest starting early.For students who have questions about filtering and signal processing: we will run an optional tutorial on these topics on Monday, 9/15, 7pm - 8:30pm in 32-G449.
Announced on 11 September 2014 10:05 p.m. by Andrew Hale Owens
