CS 675: Computer Vision

Welcome to the world of artificial vision systems! This page provides information on the CS 675 course. Please come back regularly during and after the course to check for updates on assignment deadlines, office hours etc. Most importantly, all PowerPoint slides etc. I use in class will be uploaded and available from the syllabus table at the bottom of this page. Despite some protests, I will keep uploading the slides immediately after each class, to make classes more surprising and exciting ;-). If you have any questions whatsoever, please don't hesitate to send me an e-mail.

Instructor:   Marc Pomplun
                    Office: S-3-092A
                    Office Hours: Tuesdays 17:30 - 19:00, Wednesday 13:00 - 14:30
                    Office Phone: (617) 287-6443
                    Lab: S-3-135
                    Lab Phone: (617) 287-6485
                    e-mail: marc@cs.umb.edu
                    Homepage: http://www.cs.umb.edu/~marc

Course Description: Artificial vision systems are becoming increasingly important to solve problems in a variety of areas, including manufacturing and surveillance. It is therefore important for future computer science graduates to have solid knowledge of this field. For this purpose, the course CS 675 “Computer Vision” provides students with both theoretical knowledge and practical experience with fundamental and advanced Computer Vision algorithms. Topics range from basic image processing techniques such as image convolution and region and edge detection to more complex vision algorithms for contour detection, depth perception, dynamic vision, and object recognition. Moreover, core topics like color processing, texture analysis and visual geometry are covered. In programming assignments, students gain practical insight into the development of vision applications by implementing Computer Vision algorithms in the JAVA programming language. Their final project is the development of their own computer vision program that solves a given problem; this could be a simple object recognition task. The performance of these programs is evaluated, and the advantages and disadvantages of individual approaches are discussed in class.

Prerequisites: CS 310 and CS 320; or permission of the instructor

Evaluation: There will be four homework assignments, all of which include software projects. An 80-minute midterm exam will take place on October 23, while the 2.5-hour final exam is scheduled for the week of December 17 to 21 (see syllabus below). Your final grade will be computed as follows:

Assignments (all four together):
Software projects:                                25%
non-programming questions:                 10%
Midterm Exam:                                 30%
Final Exam:                                        35%

(note: PDF files are in grayscale for better printing - HTML files are in color for better on-screen viewing - PPT files are for playing around with)

Session Dates	Topics	Textbook	Slides
Tuesday, September 4	Digital Images Binary Image Processing	Chapters 2 & 13	[PDF] [HTML] [PPT]
Tuesday, September 11	Color Image Filtering	Chapters 1 & 5	[PDF] [Color PDF] [HTML] [PPT]
Tuesday, September 18	Basic Image Transformation	Chapter 3	[PDF] [HTML] [PPT]
Tuesday, September 25	Edge Detection	Chapters 6 & 7	[PDF] [HTML] [PPT]
Tuesday, October 2	Region Detection	Chapters 6 & 7	[PDF] [HTML] [PPT]
Tuesday, October 9	Shape Representation/Texture	Chapter 8	[PDF] [HTML] [PPT]
Tuesday, October 16	Midterm Preparation	Chapter 15	[PDF] [HTML] [PPT]
Tuesday, October 23	Midterm Exam
Tuesday, October 30	Depth	Chapters 11 & 12	[PDF] [HTML] [PPT]
Tuesday, November 6	Motion	Chapter 16	[PDF] [HTML] [PPT]
Tuesday, November 13	Object Recognition I	Chapter 9	[PDF] [HTML] [PPT] [SVM_TALK]
Tuesday, November 20	Object Recognition II	Chapter 9	[PDF] [HTML] [PPT]
Tuesday, November 27	Image Understanding I	Chapter 10	[PDF] [HTML] [PPT]
Tuesday, December 4	Image Understanding II	Chapter 10	[PDF] [HTML] [PPT]
Tuesday, December 11	Final Review & Practice Exam
Some day between December 17 and 21	Final Exam

Accommodations: Section 504 of the Americans with Disabilities Act of 1990 offers guidelines for curriculum modifications and adaptations for students with documented disabilities. If applicable, students may obtain adaptation recommendations from the Ross Center for Disability Services, M-1-401, (617-287-7430). The student must present these recommendations and discuss them with each professor within a reasonable period, preferably by the end of Drop/Add period.

Student Conduct: Students are required to adhere to the University Policy on Academic Standards and Cheating, to the University Statement on Plagiarism and the Documentation of Written Work, and to the Code of Student Conduct as delineated in the catalog of Undergraduate Programs, pp. 44-45, and 48-52. The Code is available online at: http://www.umb.edu/student_services/student_rights/code_conduct.html

Assignment/Exam (PDF)	Posted/Given on	Due Date	Sample Solution & Other Information
Assignment #1	September 24	October 6	Sample Code (includes Assignment #2)
Assignment #2	October 8	October 16/31	Assignment #2 Sample Solutions
Practice Midterm Exam	October 11	October 16	Practice Midterm Sample Solutions
Midterm Exam	October 23		Midterm Sample Solutions
Assignment #3	November 11	November 21	Assignment #3 Sample Solutions
Assignment #4	November 28	December 4/21	Assignment #4 Sample Solutions
Practice Exam	November 29	December 4	Practice Exam Solutions
Final Exam	December 11		Final Exam Sample Solutions