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Shape-Time Photography

Author(s)
Freeman, William T.; Zhang, Hao
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Abstract
We introduce a new method to describe, in a single image, changes in shape over time. We acquire both range and image information with a stationary stereo camera. From the pictures taken, we display a composite image consisting of the image data from the surface closest to the camera at every pixel. This reveals the 3-d relationships over time by easy-to-interpret occlusion relationships in the composite image. We call the composite a shape-time photograph. Small errors in depth measurements cause artifacts in the shape-time images. We correct most of these using a Markov network to estimate the most probable front surface, taking into account the depth measurements, their uncertainties, and layer continuity assumptions.
Date issued
2002-01-10
URI
http://hdl.handle.net/1721.1/6683
Other identifiers
AIM-2002-002
Series/Report no.
AIM-2002-002
Keywords
AI, video summarization, stereo

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