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Computational Photography and Videos  
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Format and Grading

This is a 3 credit course, including 3 hours of class per week. Except for the first 3 weeks where only lectures will be given, one session will consist of a formal lecture, while the other session will be devoted to student presentations about specific subjects (see below) and a 30 minutes discussion of the week's reading.

Computational photography is a new research area and  many of the slides used in this course originate from the course notes of other researchers and faculties who pioneered this area. Thanks to Fredo Durand (MIT), Marc Pollefeys (UNC), Leonard McMillan (UNC), Ramesh Raskar (MERL), and many others for their slides.

Grading will be based on the following assignments and on participation in class.

Reading and participation (25%)

Lab assignment (40%)

Final project (35%)

 

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