Computational Photography and Capture, Spring 2010


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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

112-JanIntroduction on Computational Photography1GB
14-JanCameras, Sensors and Colour2TW
219-Janbreak-out session: Photo Capture1
21-JanBlending and Compositing, Poisson Editing2GB
326-JanSeam Carving and Time-Lapse Video1GB
28-JanWarping, Morphing, Mosaics and Panoramas2GB
42-FebHigh-Dynamic-Range Imaging and Tone Mapping1TW
4-FebThe Bilateral Filter And Its Applications2TW
59-FebColourisation and Colour Transfer1GB
11-FebImage Inpainting and Texture Synthesis2TW
6— Spring Break —
723-FebVideo-Based Rendering of Scenes I1GB
25-FebVideo-Based Rendering of Scenes II2GB
82-MarVideo Texture Synthesis1GB
4-MarVideo Sprites (slides: see previous lecture)2GB
99-MarDeblurring and Coded Aperture Imaging1TW
11-MarRadiometry and Appearance Models2TW
1016-MarAppearance Acquisition I1TW
18-MarAppearance Acquisition II (slides: see previous lecture)2TW
1123-MarMotion Capture1GB
25-MarIntrinsic Images1GB