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    Inferring Temporal Order of Images From 3D Structure

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    Schindler07cvpr.pdf (1.784Mb)
    Date
    2007-06
    Author
    Schindler, Grant
    Dellaert, Frank
    Kang, Sing Bing
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    Abstract
    In this paper, we describe a technique to temporally sort a collection of photos that span many years. By reasoning about persistence of visible structures, we show how this sorting task can be formulated as a constraint satisfaction problem (CSP). Casting this problem as a CSP allows us to efficiently find a suitable ordering of the images despite the large size of the solution space (factorial in the number of images) and the presence of occlusions. We present experimental results for photographs of a city acquired over a one hundred year period.
    URI
    http://hdl.handle.net/1853/38343
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    • Computational Perception & Robotics [213]
    • Computational Perception & Robotics Publications [213]

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