CS9645a/b INTRODUCTION TO COMPUTER VISION TECHNIQUES
Course Description This graduate course examines the foundational techniques in the field of computer vision. Vision is one of the senses that allow us to build a powerful internal representation of the world. Hence, machines that correctly interpret visual infomation have an extended capability to interact with the world and humans. Such interactions include visually guided autonomous navigation, industrial inspection, cooperative robotics, facial recognition, and automated spatial missions.
Course Content
Suggested Readings The readings are given in class. However, here is a list of references which will allow the students to perfect their learning:
Student Evaluation
Web Resources
Late Policy Each assignment has a specific due date. The late policy in this course is a penalty of 5% per day up to 5 days of lateness. Saturday and Sunday count as one penalty day.
Ethical Conduct Scholastic offences are taken seriously and students are directed to read the appropriate policy, specifically, the definition of what constitutes a scholastic offence, at the following website: http://www.uwo.ca/univsec/handbook/appeals/scholoff.pdf.
All assignments must be completed individually. You may discuss approaches to problems with other students, however, the work handed in must be your individual effort.
Students must write their essays and assignments in their own words. Whenever students take an idea, or a passage from another author, they must acknowledge their debt both by using quotation marks where appropriate and by proper referencing in the form of footnotes or citations. Plagiarism is a serious and major academic offence (see the scholastic offence policy in the Western Academic Calendar).
Assignments that are judged the be the result of academic dishonesty will, as a first offence, be given a mark of 0% with an additional penalty equal to the weight of the assignment. Students are responsible for reading and respecting the Computer Science Departmental policy on Scholastic Offences and Rules of Ethical Conduct.
Professor