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.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/6683 |
| Date | 10 January 2002 |
| Creators | Freeman, William T., Zhang, Hao |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Format | 6 p., 6494953 bytes, 11283819 bytes, application/postscript, application/pdf |
| Relation | AIM-2002-002 |
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