Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6683
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dc.creatorFreeman, William T.-
dc.creatorZhang, Hao-
dc.date2004-10-08T20:37:26Z-
dc.date2004-10-08T20:37:26Z-
dc.date2002-01-10-
dc.date.accessioned2013-10-09T02:46:27Z-
dc.date.available2013-10-09T02:46:27Z-
dc.date.issued2013-10-09-
dc.identifierAIM-2002-002-
dc.identifierhttp://hdl.handle.net/1721.1/6683-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionWe 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.-
dc.format6 p.-
dc.format6494953 bytes-
dc.format11283819 bytes-
dc.formatapplication/postscript-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationAIM-2002-002-
dc.subjectAI-
dc.subjectvideo summarization-
dc.subjectstereo-
dc.titleShape-Time Photography-
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