600.161 Exploring Vision in the Real World

The course will focus on real world applications of computer vision and image processing, such as in the areas of medicine, sports and surveillance. The goal is to introduce students to the basic concepts and explain how they are the building blocks for interesting and practical applications. One such example is the use of stereo vision to enhance micro surgery. Another example is the use of computer vision to create realistic 3D real-time video fly-through in sporting events, such as the NFL Super Bowl. The class will consist of lectures, Matlab labs, and a group project. Students will be evaluated on weekly labs and group work.

This course is designed to introduce computer vision to interested students with or without a computer science background. Pre-calculus level math is required. Linear algebra would be useful but not required.

	Welcome to 600.161 Exploring Vision in the Real World
	Instructor
		Henry Lin PhD Student Dept. of Computer Science
	Course Information The course will focus on real world applications of computer vision and image processing, such as in the areas of medicine, sports and surveillance. The goal is to introduce students to the basic concepts and explain how they are the building blocks for interesting and practical applications. One such example is the use of stereo vision to enhance micro surgery. Another example is the use of computer vision to create realistic 3D real-time video fly-through in sporting events, such as the NFL Super Bowl. The class will consist of lectures, Matlab labs, and a group project. Students will be evaluated on weekly labs and group work. This course is designed to introduce computer vision to interested students with or without a computer science background. Pre-calculus level math is required. Linear algebra would be useful but not required.
	MEETINGS: INSTRUCTOR: OFFICE: OFFICE HOURS :	Tue and Wed, 9-11:30 PM, Shaffer 101 (lectures), Shaffer 1 (labs) Henry Lin LCSR B08I By email or stop by office
	Announcements 1/6/09 - Class 1 slides: [Intro] [Color] 1/6/09 - Group project handout given. Send 1-page description to me by end of next Tues, 1/13 (third class). 1/7/09 - Class 2 slides: [Optical Illusions] [Camera] [Transformations.ppt] [Sports Videos] 1/7/09 - Lab 1 slides and handout [Matlab introduction slides] [Lab 1] 1/13/09 - Class 3 slides: [Object Recognition] [Image Segmentation] 1/14/09 - Lab 2 info: [Lab 2 pdf] [Lab 2 code and info] Grading Your grade will be based on the following criteria: 20% Lab 1 20% Lab 2 20% Group Paper 20% Group Presentation 20% Class Attendance A grade of 60% or higher is required to pass this class.

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