16-385 Computer Vision |
Instructor: | Kris Kitani | |
Time: | Tuesday, Thursday 12:00PM - 1:20PM | |
Location: | WEAN HALL 5403 |
This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis. Students will learn basic concepts of computer vision as well as hands on experience to solve reallife vision problems.
This course requires familarity with linear algebra and basic probability. MATLAB will be used for project assignments and will be covered as part of the introduction to the course.
Prerequisites: (18202 and 15122) or (21240 and 21241 and 21259 and 15122).
We use Piazza for class discussion and announments.
There are five individual projects and one midterm exam. There is no final exam.
Project 1 | Hough Transform | 15% |
Project 2 | Bag of Words | 15% |
Project 3 | Homography | 20% |
Project 4 | Structure from Motion | 20% |
Project 5 | Tracking | 20% |
Midterm Exam | 10% |
Image Processing |
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Jan 13 | ||
Jan 15 | ||
Jan 20 | Programming Tutorial |
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Jan 22 | ||
Jan 27 | ||
Jan 29 | ||
Feb 03 | Project 1 Due on Feb 3 |
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Recognition |
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Feb 05 | ||
Feb 10 | ||
Feb 12 | ||
Feb 17 | ||
Feb 19 | ||
Feb 24 | ||
Image Transformations(2D) |
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Feb 26 | ||
Mar 03 | ||
Mar 05 | Midterm Exam |
Project 2 Due on March 6 |
Mar 10 | Spring Break; No Class. |
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Mar 12 | Spring Break; No Class. |
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Mar 17 | ||
Multi-view Geometry(3D) |
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Mar 19 | ||
Mar 24 | ||
Mar 26 | ||
Mar 31 | Project 3 Due on April 1 |
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Video Analysis |
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Apr 02 | ||
Apr 07 | ||
Apr 09 | ||
Apr 14 | Project 4 Due on April 15 |
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Apr 16 | No Class. |
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Apr 21 | ||
Apr 23 | Temporal Bayesian Inference |
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Apr 28 | Kalman Filter & Extended Kalman Filter |
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Apr 30 | MonoSLAM |
Project 5 Due on April 30 |