Computational Photography and Capture, Spring 2011


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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 Gabriel Brostow.
Assistant: .
Time&Place: Tue: 12–1 PM (MPEB 1.03); Thu: 9–11 AM (MPEB 1.03).
Practicals will be Tuesdays in room MPEB 1.05/1.21. Most weeks the lab is 4–6pm, but will be 5–7pm on 18th Jan., 1st Feb., and 8th March only.
Mailing Lists: The module uses the mailing list provided through UCL's Moodle system.
Past Exams: This is the second year this module is taught. Last year's exam is available through UCL Library.