CSE252A
Computer Vision I
Tuesday, Thursday 9:30 am - 10:50 am
Pepper Canyon Hall (PCYNH), Room 120
Class web board: http://piazza.com/ucsd/fall2011/cse252a
Class web page: http://cseweb.ucsd.edu/classes/fa11/cse252A-a
News:
11/22: Assignment #4 is posted and is due Saturday, December 3rd.
11/11: Assignment #3 is posted and is due Tuesday, November 22nd.
11/02: Assignment #2 has been extended the new deadline is Tuesday, November 8th.
10/29: Scores for Assignment #1 have been posted on GradeSource.
10/20: Assignment #2 is posted and is due Thursday, November 3rd.
10/12: Scores for Assignment #0 have been posted on GradeSource.
10/08: Figures 3 and 5 of Assignment #1 have been updated.
10/07: Assignment #1 is posted and is due Tuesday, October 18th.
10/06: The room has been changed to Pepper Canyon Hall (PCYNH), Room 120
09/25: Office hours for Prof. Kriegman and the TA have been set. See below for details.
09/22: The first day of class.
Course Information:
Instructor: David
Kriegman
Office: EBU3B, Room 4120
Phone: (858) 822-2424
Email: kriegman at cs.ucsd.edu
Office Hours: Tue 1:00 - 2:00 pm
TA: Andrew Ziegler
Email: aziegler at cs.ucsd.edu
Office: EBU3B, Room B260A
Office Hours: Wed 11:00am - 12:50pm
Class Description:
Comprehensive introduction to computer vision providing broad coverage including
low level vision (image formation, photometry, color, image feature detection),
inferring 3D properties from images (shape-from-shading, stereo vision, motion
interpretation) and object recognition. A companion course, CSE252B, Computer
Vision II is taught in the Winter quarter. 4 units.
Required Text:
“Computer Vision:
Algorithms and Applications”, Richard Szeliski, An online copy of the book, is available at: http://szeliski.org/Book/.
Supplemental Text:
"Computer vision: A Modern Approach," David
A. Forsyth, Jean
Ponce, Prentice Hall, ISBN: 0130851981
Prerequisites:
Linear algebra and Multivariable calculus (e.g., Math 20A & 20F),
programming, data structure/algorithms (e.g., CSE100). Probability can also be
useful.
Programming:
Assignments will include both written problem sets and programming assignments
in Matlab. Students can either purchase the Matlab student edition or use
copies available on University machines such as are available in the APE
Lab.
Grading:
Assignments: 60%
Final Exam: 40%
Late Policy:
Written homework will be due in class and accepted thereafter with a penalty of
10% per day starting from the due date. Programming assignments will
have a hand-in procedure described with the assignment, and also has a 10% per
day late penalty. No assignments will be accepted after the graded assignments
have been returned or the solutions have been released.
Assignments
Homework 0 [Due 10/04]: Getting Started with Matlab
Homework 1 [Due 10/18]: Camera & Lens, Rigid Transformations and Homography
- house_model.m
- img1.jpg img2.jpg img3.jpg img4.jpg img5.jpg img6.jpg
- Select at least three images of the blackboard for your second mosaic here.
- Supplemental material: More details on the homography estimation process can be found here.
Homework 2 [Due 11/03]: Radiometry and Photometric Stereo
- Data for the programming assignment part: Synthetic Images, Specular Sphere Images, Pear Images, Bottle and Sphere Images.
Homework 3 [Due 11/22]: Epipolar Geometry and Sparse Stereo Matching
- Data for the programming assignment part: Warrior Images, Dinosaur Images, Matrix Images.
- Supplementary material on linear triangulation
- Matlab code: fund.m, linePts.m
Homework 4 [Due 12/03]: Optical Flow and Video Stabilization
-
Input Images: hw4_images.zip
-
There is no class on the due date so just put the hard copy part of your submission in Andrew's mailbox (CSE Building, 2nd floor) by the due date at 9:00 am
Synth Sphere Corridor 
