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Title: Computer Vision I
Course number: 91.423 (undergraduate) 91.543 (graduate)
Session: Fall 2014
Instructor: Kate Saenko, firstname.lastname@example.org
Location: Olsen Hall, Room 406
Meeting Times: Tue/Thu 4-5:15pm
Office Hours: Olsen 223, Tue 13:00-15:00, Thu 15:00-16:00, and by appointment.
This is an upper-level undergraduate or graduate course. Students should have completed the following courses (or their equivalents):
In addition, the course can be taken as part of the two-course project sequence in combination with 91.422 Machine Learning (this course is not currently a pre-requisite.)
The main textbook for the course is Computer Vision: Algorithms and Applications by Richard Szeliski.
The secondary optional textbook is Computer Vision: A Modern Approach by David A. Forsyth, and Jean Ponce.
Also see OpenCV resources for useful books about OpenCV for homeworks and projects.
Software and Hardware
The course will use the OpenCV library. To facilitate programming assignments, additional software libraries may be made available to the students.
The class will meet twice a week for a 75 min lecture, taught by the instructor.
Syllabus Overview TBA
Student Learning Outcomes
After the completion of the course, the students should be able to understand
These goals will be evaluated through homeworks and a final project.
Students will be evaluated based on the following graded work (subject to change):
Students enrolled in the graduate section will be expected to submit additional work and/or achieve a higher percentage on the exams to receive the same grade as undergraduate section students.
Submitting Homework and Deliverables
Students MUST submit the finished homework using ‘submit’. Please refer to this page
on how to submit an assignment using ‘submit’ command on the Computer Science servers. You need a CS department account, which you can get from the helpdesk in 312.
Submit your items using the following command, for example, for 'hw1' submission, use:
$ submit saenko hw1 items-to-submit
* Overwritten by duplicate submission.
Important: if you cannot submit an assignment on time because of CS department server issues, please IMMEDIATELY
Academic Honesty Policy: Students are expected to honor all CS department and UMass Lowell policies related to academic honesty and integrity. Violators risk failing the course in addition to any actions taken by university administration. The default CS department policy is that a student who cheats will fail the course. The University's policy is described here. A definition of plagiarism is here. All work on exams must be the student's own work. All work on homework assignments must also be the student's own work, with the following exceptions: 1) hints provided by the instructor or TA may be used but must be acknowledged in writing in the student's work; 2) high-level hints from another student may also be used if a student is unable to make progress on an assignment problem on his/her own; this type of hint must also be acknowledged in writing in the student's work. Detailed collaboration among students on homework assignments is not permitted. Students cannot obtain homework answers from web sites.
Religious Observance: UMass Lowell respects the religous observances of students. If religious obligations conflict with course due dates and/or examinations, students should notify the professor in writing well in advance of the due date.