Computational Photography and Capture, Spring 2011


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The module is designed to be self-contained, introducing the theoretical and practical aspects of modern photography and capture algorithms to students with only limited mathematical background. The two primary aims are to introduce universal models of colour, computer-controlled cameras, lighting and shape capture, and to motivate students to choose among the topics presented for either continuing study (for those considering MSc's and PhD's) or future careers in the fields of advanced imaging.

Course Structure

111-JanIntroduction to Computational Photography1GB
13-JanCameras, Sensors and Colour2TW
218-JanHigh-Dynamic-Range Imaging and Tone Mapping1TW
20-JanThe Bilateral Filter2TWSee the following slide set for a definition of image convolutions.
325-JanApplications of The Bilateral Filter1TW
27-JanImage Compositing and Blending2GB
401-FebTime-Lapse Video, Analysis and Editing1GB
03-FebCarving, Warping and Morphing2GB
508-FebColourisation and Colour Transfer1GB
10-FebIntrinsic Images1GB
6— Reading Week —
722-FebImage-Based Rendering1GB
24-FebVideo-Based Rendering of Scenes2GB
801-MarVideo Texture Synthesis1GB
03-MarVideo Sprites2GB
908-MarDeblurring and Coded Aperture1TW
10-MarRadiometry and Appearance Models I2TW
1015-MarRadiometry and Appearance Models II1TW
17-MarAppearance Acquisition2TW
1122-MarMotion Capture1TW
24-MarImage Inpainting and Texture Synthesis2TW