Introduces statistical pattern recognition of visual data; low-level visual feature extraction (color, shape, edges); clustering and classification techniques. Applies knowledge to various application domains through exercises, large programming projects in MATLAB, and an independent research project. Familiarity with probability distributions will be helpful, but not required. Prerequisites: Junior standing, MA221 and programming experience (e.g., CSSE220, ME323, ECE480).
In this course, we'll study image recognition, or image understanding, the process of extracting useful information out of images to make decisions about the world. Examples include photo organization and retrieval, video surveillance, and fingerprint recognition. It uses image processing and pattern classification techniques, and in some ways is the intersection of these fields. In a typical week, we'll learn theory for 3 days and practice that theory in 1 day of lab, implementing and using algorithms using MATLAB. The weekly schedule can be found here.
Matt Boutell – Associate Professor of Computer Science and Software Engineering
| Email: | boutell <at> rose-hulman <dot> edu |
| Office address: | Myers M240C |
| Home page: | http://www.rose-hulman.edu/~boutell |
| Office hours: | I have class hour 2,7, and 9. Right after our class is best, since I'll be around in Olin waiting for my 9th hour class. Of course, feel free to drop by any time that my light is on and I'm not in a meeting. |
| Announcements/questions: | Piazza: https://piazza.com/class#winter2017/csse463 |
Chris Sadler, sadlercr <at> rose-hulman <dot> edu
Cengage-Engineering; ed. 3 (2007). ISBN-10: 049508252X, ISBN-13: 978-0495082521
Prentice-Hall, 2003. ISBN 0-13-085198-1
I'll use Moodle to post grades, for dropboxes to submit labs and homeworks, and for links to the course schedule, assignment descriptions, slides, and handouts. All the linked materials are available via any of the several mechanisms for accessing Public AFS data. Thus, you can get to the majority of course materials:
Students who successfully complete this course should be able to:
I plan to use the weighting scheme shown in the table below when assigning final grades.
| Criteria | Weight |
|---|---|
| In-class Quizzes/Participation/Attendance | 10% |
| Lab Assignments | 15% |
| Projects | 20% |
| Term Project | 20% |
| Tests | 35% |
I will do my best to conform to the Rose-Hulman definition of the various grades, as described in the Academic Rules and Procedures. Note in particular that the phrase ”thorough competence to do excellent work“ appears there in the description of the “B” grade, and it further states that “B” and “B+” will not be given for mere compliance with the minimum essential standards of the course.
I may adjust your overall average up or down by up to 5 points, based on your class citizenship. This includes attendance, promptness, preparation for class, positive participation in class, constructive partnership in labs and projects, and timely completion of various surveys. I also reserve the right to change final grades when the average in a major category (labs, exam, project) differs significantly from the overall average.
The in-class time in this course constitutes an important learning experience. Unexcused absences will affect your citizenship grade. After three unexcused absences, you must discuss continuation of the course with the instructor. Four unexcused absences will result in failure of the course, at the instructor's discretion.
I will deduct -20% for each day, or part of a day, past the due date, unless an extension was asked for and granted. Poor planning isn't a reason for an extension, but I encourage you to discuss other issues that may apply.
I do my best to keep class interactive. With laptops and cell phones in class there are many more ways to become distracted. When these distractions disrupt class learning your "Course Citizenship" grade will suffer.
I strongly encourage you to turn off IM and email software and only use other software for things directly related to class.
Sights/Smells/Sounds: As would be expected in the workplace, please be respectful of those around you. If your visual appearance (e.g., offensive computer desktops), smell (e.g., halitosis or tobacco), or sounds created (e.g., cell phone, computer noise, or snoring) are disruptive to class, you will be asked to leave until the issue can be corrected.
Recall the Institute policy on academic misconduct:
“Rose-Hulman expects its students to be responsible adults and to behave at all times with honor and integrity.”
Some labs and projects will be done with a partner. Otherwise, work including exams will be done on an individual basis. The simple rule of thumb for individual work is:
Never give or use someone else's code or written answers.
Such exchanges are definitely cheating and not cooperation.
I encourage you to discuss the problems and general approaches to solving them with other students. However, when it comes to writing code, it should be your own work (or the work of your group if it is a group or partner assignment). If you are having trouble understanding how some library code works or pinning down a run-time or logic error in your program, by all means talk to someone about it.
If you use someone else's ideas in your solution (or any other work that you do anywhere), you have to:
If you are ever in doubt about whether some specific situation violates the policy, the best approach is to discuss it with your instructor beforehand. This is a very serious matter that I do not take lightly. Nor should you.
In general, you should not look at another student's code to get ideas of how to write your own code. Beginning the process of producing your own solution with an electronic copy of work done by other students is never appropriate.
Plagiarism or cheating will result in a score of -100% for the assignment or exam, and by Institute policy, a letter to the Dean of Students, the Head of the CSSE Department, and the Dean of the Faculty will go in your permanent record. Egregious cases will result in a grade of F for the course. More importantly, such dishonesty steals your own self-esteem. So don't cheat.
The instructor reserves the right to change this policy at any time - if after the course begins, the instructor will notify the students of the change.
Developed by Matt Boutell, format and lots of wording courtesy of CSSE120 instructors a long, long time ago.