Course Description:
Provides an overview of computer vision, emphasizing the middle ground between image processing and artificial intelligence. Low-level image processing, computational photography, motion and depth estimation, object recognition, and case studies of current research
Office hours: There are no regularly scheduled office hours, but you can always arrange a meeting with either the TA or instructor. Just send an email.
Grading: Each programming assignment will be a mix of coding and written answers. Programming Projects (70%), Midterm (15%), Final (15%).
Book (optional):
Computer Vision: A Modern Approach (2nd Edition), David A. Forsyth.
Computer Vision: Algorithms and Applications, Richard Szeliski.
Syllabus Overview:
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9/26
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10/1
- Images and Filters
Suggested Reading: Forsyth Section 7.1, Szeliski Section 3.2, 3.3.1 -
10/3
- Sampling
Suggested Reading: Forsyth Section 7.4, Szeliski Section 3.5.1, 3.5.2 - Edges
Suggested Reading: Forsyth Section 5.2.1, Szeliski Section: 4.2.1
10/8
- Transformation Suggested Reading: Szeliski Section: 2.1.1, 2.1.2
- HW1: Filters Due (10/9 11:45pm) [Dropbox]
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10/10
- Interest Points Suggested Reading: Forsyth Section 5.3, Szeliski Section: 4.1.1
10/15
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10/17
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10/22
10/24
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10/29
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10/31
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11/5
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11/7
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11/12
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11/14
- Midterm (In-Class)
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11/19
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11/21
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11/26
11/28
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12/3
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12/5
- Final (In-Class)
Homework Notes:
Please upload your assignment in a compressed file including codes, executables, writing assignments, and the data required for the program. Also, please include a brief readme describing any extra credit (bells and whistles) you accomplished. Note that there is a deadline for each assignment. Anything uploaded after the deadline will be marked late.
Please be careful to not overwrite an in time assignment with a late assignment when uploading near the deadline.
Each student has one penalty-free late day, other than that any late submission will be penalized by 33% for each day it is late, and no extra credit will be awarded.
Please let the TA know if you cannot access any of the pages.