CS 568 Computer Vision
  Spring 2013
Instructor: Qi Li

Office	COHH 4138,, x6225, Qi.Li@wku.edu
Homepage	http://www.wku.edu/~qi.li
Office Hours	MW: 14:00—16:00
	TR: 14:30—15:30
	and by appointments
Prerequisite	CS 380 or CS 500
Text	Computer Vision: Algorithms and Applications by  Richard Szeliski, Springer
	2011, ISBN-13: 978-1848829343
Grading	Test I and II 15%
	Final 30%
	Homeworks 35%
	Attendance 5%
Grading scale	90-100 A
	80-89 B
	70-79 C
	60-69 D
	< 60 F
Exam dates	Dates for the first two exams will be announced at least one week in advances.
	The final exam is scheduled for Monday May 6, 8:00-10:00am

Course Description:

• A study of the techniques and applications of computer vision. Topics include pattern recognition, filtering, texture, segmentation, recognition, 3D vision and case studies. Important algorithms will be
  implemented by students.
  
  

Course Outcome:

• Be familiar with basic techniques in feature detection and matching
• Be familiar with basic techniques for image segmentation
• Be able to apply machine learning techniques for recognition

Course Policy:

1. Submit your homeworks on time. If you have to submit homeworks after the due day, you must get the permission from the instructors Two days before the due day.
2. Students are responsible for attending the exams on time. If you cannot attend the exam, you must get permission from the instructor, and present documented excuse.
3. If the instructor is late, students should remain in the class orderly working (studying) until the instructor arrive or until the class is dismissed officially by a person of authority.
4. No food or drink is permitted in the classroom, and no mobile phone usage in the classroom.
5. Homeworks must be done by individual effort. Plagiarism and other forms of academic dishonesty will result in F for the course. Copying code from other students or the Internet is not allowed.

Student Disability Services:

      In compliance with university policy, students with disabilities who require academic and/or auxiliary accommodations for this course must contact the Office for Student Disability Services in Downing University Center, A-200. The phone number is 270 745 5004.
      Please DO NOT request accommodations directly from the professor or instructor without a letter of accommodation from the Office for Student Disability Services.

Course Content: We will attempt to cover the following topics, as time allows.

• Image formation
• Image processing
• Feature detection and matching
• Segmentation
• Texture
• 3D vision
• Recognition
• Case studies