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Computational Photography, Fall 2011
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History of cameras*
* adopted from wikipedia.
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Course overview
Computational photography is a hot topic for both computer graphics
and computer vision.
It studies how to combine, edit, acquire and improve digital photos/videos
with computation or novel camera/illumination models.
Its general goal is to break conventional cameras' limitations in
quality, resolution, dynamic range and camera models.
Typical topics include upsamping, deblurring, stabilization, denoising,
high dynamic range imaging, light field cameras and so on.
These topics are not only interesting research problems,
but also often find immediate use in practice.
Meeting time: 1:20pm-4:10pm every Thursday Classroom: CSIE Room 101 Instructor: Yung-Yu Chuang Teaching assistant: Ken-Yi Lee ![]() ![]() Office hour: TBD. TA Office hours: TBD. Mailing list: Subscribe ![]() Textbook: There is no textbook for this course. We will use readings books, journals and proceedings. Grading: (subject to change)
Syllabus (topics we might cover):
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