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%).
- Images and Filters
Suggested Reading: Forsyth Section 7.1, Szeliski Section 3.2, 3.3.1
Suggested Reading: Forsyth Section 7.4, Szeliski Section 3.5.1, 3.5.2
Suggested Reading: Forsyth Section 5.2.1, Szeliski Section: 4.2.1
- Transformation Suggested Reading: Szeliski Section: 2.1.1, 2.1.2
- HW1: Filters Due (10/9 11:45pm) [Dropbox]
- Interest Points Suggested Reading: Forsyth Section 5.3, Szeliski Section: 4.1.1
- Midterm (In-Class)
- Final (In-Class)
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.