Computational Photography and Capture, Spring 2010


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General Information

Description: Computational Photography is an emerging new field created by the convergence of photography, computer graphics and computer vision. Its role is to overcome the limitations of the traditional camera by using computational techniques to produce a richer, perceptually meaningful representation of our visual world. Modern acquisition tools (hardware & software) are making it possible to capture visual data (colour, texture, shape, motion) and, most critically, present that data in a useful manner.
See the syllabus page for more information.
Prerequisites: Completion of the years 1 and 2 of the BSc/BEng/MEng Computer Science or Computer Science with EE programme.
Assessment: The assessment will be based on two course works and a final exam. See here for more information.
Readings: There is no dedicated text book. During the lectures, pointers to relevant research papers will be provided.
Lecturers: and .
Assistant: .
Time&Place: Tue: 12–1 PM (Torrington 1-19, Galton LT); Thu: 9–11 AM (Darwin Biochemistry LT).
Practicals will be Tue, 4–6 PM, starting from January 12th, 2010. The first lab will be in MPEB 4.06.
Mailing Lists: There are two mailing lists 3085 and GV15.
To join, refer to
Past Exams: No, there are no past exam papers available, as this is the first year this module is being taught.