| Instructor: Kristen Grauman Office location: GDC 4.726 Office hours: Tues 2:30-3:30 pm and by appointment |
| TA: Thomas
Crosley Office location: TA Station #4, GDC Office hours: Mon 3:30-4:30 pm and Wed 9-10 am TA: Kapil Krishnakumar Office location: TA Stations Office hours: Mon 4:30-5:30 pm and Fri 3-4 pm TA: Shubham Sharma Office location: TA Station #4 GDC 1.302 Office hours: Tues/Thurs 5-6 pm Please use Piazza for assignment help. |
I. Features and filters: low-level vision
II. Grouping and fitting: mid-level vision
- Linear filters
- Edges and contours
- Binary image analysis
- Background subtraction
- Texture
- Motion and optical flow
III. Multiple views
- Segmentation and clustering algorithms
- Hough transform
- Fitting lines and curves
- Robust fitting, RANSAC
- Deformable contours
- Interactive segmentation
IV. Recognition: high-level vision
- Local invariant feature detection and description
- Image transformations and alignment
- Planar homography
- Epipolar geometry and stereo
- Object instance recognition
- Object/scene/activity categorization
- Object detection
- Supervised classification algorithms
- Probabilistic models for sequence data
- Visual attributes
- Active learning
- Dimensionality reduction
- Non-parametric methods and big data
- Deep learning, convolutional neural networks
- Other advanced topics as time permits
TextbookSchedule (cumulative to date)
The course textbook is:
Computer Vision: Algorithms and Applications, by Rick Szeliski.
It is freely available online or may be purchased in hardcopy. Course lecture slides will be posted below and are also a useful reference.
You may also find the following books useful.
- Computer Vision: A Modern Approach, David A. Forsyth and Jean Ponce
- Computer Vision, Linda G. Shapiro and George C. Stockman
- Introductory Techniques for 3-D Computer Vision, Emanuele Trucco and Alessandro Verri.
- Multiple View Geometry in Computer Vision, Richard Hartley and Andrew Zisserman.
- Pattern classification, Richard O. Duda, Peter E. Hart, and David G. Stork
- Pattern Recognition and Machine Learning. Christopher M. Bishop
- Visual Object Recognition. K. Grauman and B. Leibe
Assignments: Assignments will be given approximately every two weeks. The programming problems will provide hands-on experience working with techniques covered in or related to the lectures. All code and written responses must be completed individually. Most assignments will take significant time to complete. Please start early, and use Piazza and/or see us during office hours for help if needed. Please follow instructions in each assignment carefully regarding what to submit and how to submit it.
Extension policy: If you turn in your assignment late, expect points to be deducted. Extensions will be considered on a case-by-case basis, but in most cases they will not be granted. The greater the advance notice of a need for an extension, the greater the likelihood of leniency. For programming assignments, by default, 10 points (out of 100) will be deducted for lateness for each day late. We will use the submission program timestamp to determine time of submission. One day late = from 1 minute to 24 hours past the deadline. Two days late = from 24 hours and 1 minute to 48 hours past the deadline. We will not accept assignments more than 4 days late, or once solutions have been discussed in class, whichever is sooner.
Exams: There is an in-class midterm and a comprehensive final exam. Both exams will be offered at the listed time only. The registrar will set our final exam date, which according to the published UT academic calendar could be as late as May 15 this year. Please account for this when making your summer plans. Neither exam will be offered at a different time to accommodate personal travel plans, internship start dates, interviews, etc.
Participation/attendance: Regular attendance is expected. If for whatever reason you are absent, it is your responsibility to find out what you missed that day. Note that attendance does factor into the final grade. (See Section II of the UTCS Code of Conduct regarding attendance expectations.)
General responsibilities: Beyond the above, your responsibilities in the class are:
- Come to lecture on time.
- Check the class webpage for assignment files, notes, announcements etc.
- Use Piazza for class-related discussion and assignment help (no spoilers, please!)
- Complete the readings prior to lecture. The reading assignments listed on the schedule should be read before the associated class lecture.
- Please do not use a laptop, cell phone, tablet, etc. during class.
- Please read and follow the UTCS code of conduct.
Please note the following important dates and deadlines.
- A0 due Tues Jan 23
- A1 due Fri Feb 9
- A2 due Fri Mar 2 (tentative)
- Midterm exam Thurs Mar 8 (in class, tentative)
- A3 due
Fri Mar 30Tues April 3 (tentative)- A4 due Tues April 17 (tentative)
- A5 due Tues May 1 (tentative)
- Last class meeting Thurs May 3
- Final exam: Thurs May 10, 2-5 pm. The exam is given during the normal final exam period and will be offered at that time only. See above.
Assignments are due about every two weeks. The assignment deadlines below are tentative and are provided to help your planning. They are subject to minor shifts if the lecture plan needs to be adjusted slightly according to our pace in class.
Grading Policy
Grades will be determined as follows. You can check your current grades online using Canvas.
- Assignments (50%, equally weighted for A1-5; 1 point for A0)
- Midterm exam (15%)
- Final exam (25%)
- Class participation, including attendance (10%)
Academic
Dishonesty Policy
You are encouraged to discuss the readings and concepts with classmates. However, all written work and code must be your own. All work ideas, quotes, and code fragments that originate from elsewhere must be cited according to standard academic practice.
Students caught cheating will automatically fail the course. The case will also be reported to the Office of the Dean of Students, which may institute its own disciplinary measures. If in doubt, look at the departmental guidelines and/or ask.
Notice
about Students with Disabilities
The University of Texas at Austin provides upon request appropriate academic accommodations for qualified students with disabilities. To determine if you qualify, please contact the Dean of Students at 471-6529; 471-4641 TTY. If they certify your needs, I will work with you to make appropriate arrangements.
Notice
about Missed Work Due to Religious Holy Days
A student who misses an examination, work assignment, or other project due to the observance of a religious holy day will be given an opportunity to complete the work missed within a reasonable time after the absence, provided that he or she has properly notified the instructor. It is the policy of the University of Texas at Austin that the student must notify the instructor at least fourteen days prior to the classes scheduled on dates he or she will be absent to observe a religious holy day. For religious holy days that fall within the first two weeks of the semester, the notice should be given on the first day of the semester. The student will not be penalized for these excused absences, but the instructor may appropriately respond if the student fails to complete satisfactorily the missed assignment or examination within a reasonable time after the excused absence.
Latex Templates
for Assignment Write-ups (Optional)
You may use any tool for preparing assignment write-ups that you like, so long as it is organized and clear. Typically we ask for a mix of descriptions/explanations as well as embedded figures composed of images and/or plots produced in Matlab.
Below we provide some info about using Overleaf, a free online editor for Latex. Overleaf provides various Latex templates and compiles your edited .tex files into a pdf automatically. The basics:
1) go to overleaf.com
2) sign up/sign in
3) click new project on the left
4) scroll down to "Homework Assignment" and click on "more homework assignment templates"
5) choose whichever template you feel comfortable with and click "open as template"
6) start editing
7) once you are done editing, click "PDF" in the panel above. A pdf file will be generated and downloaded automatically.
Here are instructions about inserting images.
How to position images.
Captioning, scaling, resizing.
