COS 429 - Computer Vision
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An introduction to the concepts of 2D and 3D computer vision. Topics include: low-level image processing methods such as filtering and edge detection; segmentation and clustering; optical flow and tracking; recognition; shape reconstruction from stereo, motion, texture, and shading; and recent developments in deep learning. Throughout the course, we also look at aspects of human vision and perception that guide and inspire computer vision techniques.
Prerequisites: Prerequisites for the course are COS 217 and COS 226. The course will require programming in Python, as well as some background in data structures and linear algebra. Experience with signal processing, statistics, computer graphics and/or machine learning is useful but not necessary.
Grading: There will be four assignments worth 56% of the final grade total, a midterm worth 20% and a final project worth 24%.
Midterm: The midterm will be during class time on Thu, Oct 24. No exceptions or alternate times will be offered.
TTh 3:00-4:20, in Computer Science Building Rm 104
Instructor: Prof. Olga Russakovsky
TAs: Xingyuan Sun, Fangyin Wei, Jimmy Wu and Felix Yu
Undergrad coordinator: Colleen Kenny-McGinley (ckenny at cs, CS 210)
We will be using piazza for Q&A (can also access from Blackboard). Please post your questions there instead of mailing the Professor or TAs, if at all possible.
Professor office hours: By appointment only, schedule here. If you are emailing the Professor with personal questions (IWs, letters of recommendations, etc), do read the FAQ first.
TA office hours: We will be holding special office hours that replace normal office hours on weeks when assignments are due and on the week of the midterm.
Regular TA office hours on the weeks of Sep 16, Sep 23, Oct 7, Nov 4, Nov 11, Nov 25 (Mon and Tue only), Dec 9:
Mon 2-3pm with Jimmy in COS 302
Tue 9:30-10:30am with Fangyin in Friend 010
Wed 4:30-5:30pm with Xingyuan in Friend 010
Thu 4:30-5:30pm with Felix in Friend 010
Special TA office hours on the weeks of Sept 30, Oct 14, Oct 21, Nov 18, Dec 2:
Tue 9:30-11:30am with two TAs in Friend 010
Wed 4:30-6:30pm with two TAs in Friend 010