We have compiled a list of frequently asked questions regarding Homework 1 Part 2 here.
Midterm solution is available here.
Midterm is held in Terman Auditorium from 9:30am to 10:45am on Tue, 2/16.
Midterm for CS223b is on Tues Feb 16, during class hour. It will be a 75-min exam. Please find the basic guidelines of topics and sample quiestions here.
Team formation (for all) and project proposal (for open project) are due on Jan 28. For open projects we are open to all innovative ideas, including solid system work. Please talk to course staff if you are uncertain. For project proposal, please follow the "final" format in the template.
To accommodate students who cannot attend the classes in person, we no longer have 10% grade for attendance and participation. Grading policy has been modified accordingly.
We have set up a course forum on Coursework. Please use the forum for class related discussion, such as finding project partners.
Course project page has been updated. Please follow the required format for your project proposal if you choose to do an open research project.
The Wii Project information session will be on Friday, Jan 22, 9:30-10:00 AM at Skilling Auditorium. The session be videotaped and available online.
We will have a make-up lecture from 2:30pm to 5:00pm on Thursday, Jan 14 in Gates B01. The lecture will be videotaped and available online.
HW1 is available.
Instructor: Prof. Fei-Fei Li
Office: Room 246 Gates Building
Office hours: Tuesday, 10:45am - 12:00pm
Course Team Email: firstname.lastname@example.org
Office: Room 242 Gates Building
Office hour: Thursday, 11:00am - 12:00pm
Office hour: Wednesday, 10:30am - 11:30am at Gates B26a
Office: Room 262 Gates Building
Office hour: Monday, 10:30am - 11:30am
Office hour: Wednesday, 2:00pm - 3:00pm at Gates B24b
Office hour: Tuesday, 4:00pm - 5:00 pm at Packard 240
Class Location and Time:
Tuesday & Thursday, 9:30-10:45am, Gates B03
An introduction to the concepts of 2D and 3D computer vision. Topics include: cameras and projection models, low-level image processing methods such as filtering and edge detection; mid-level vision topics such as segmentation and clustering; shape reconstruction from stereo, as well as high-level vision tasks such as object recognition, face detection and human motion categorization.
Homework: 40% (10% per homework; HW4 can have a bonus of 5%)
Midterm exam: 20%
Final project: 40%
All the homeworks are due in class. Please submit your homework as hardcopy. If you cannot submit in class, write down the date and time of submission, and leave it in the CS223B submission box in the cabinet at the bottom of the Gates A-wing stairwell.
Late policy: each student will have three free late (calendar) days for regular homework;
no late days allowed for final project.
Linear algebra, knowledge of probability and statistics.
No required textbooks; Suggested textbooks:
Multiple View Geometry in Computer Vision, 2nd Edition, by R. Hartley, and A. Zisserman, Cambridge University Press, 2004.
Computer Vision: A Modern Approach, by D.A. Forsyth and J. Ponce, Prentice Hall, 2002.
Pattern Classification (2nd Edition), by R.O. Duda, P.E. Hart, and D.G. Stork, Wiley-Interscience, 2000.