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    Automatic Multiperspective Images

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    083-092.pdf (710.5Kb)
    Date
    2006
    Author
    Román, Augusto
    Lensch, Hendrik P. A.
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    Abstract
    Multiperspective images generated from a collection of photographs or a videostream can be used to effectively summarize long, roughly planar scenes such as city streets. The final image will span a larger field of view than any single input image. However, common projections used to make these images, including cross-slits and pushbroom projections, may suffer from depth-related distortions in non-planar scenes. In this paper, we use an aspect-ratio distortion metric to compare these images to standard perspective projections. By minimizing this error metric we can automatically define the picture surface and viewpoints of a multiperspective image that reduces distortion artifacts. This optimization requires only a coarse estimate of scene geometry which can be provided as a depth map or a 2D spatial importance map defining interesting parts of the scene. These maps can be automatically constructed in most cases, allowing rapid generation of images of very long scenes.
    BibTeX
    @inproceedings {10.2312:EGWR:EGSR06:083-092,
    booktitle = {Symposium on Rendering},
    editor = {Tomas Akenine-Moeller and Wolfgang Heidrich},
    title = {{Automatic Multiperspective Images}},
    author = {Román, Augusto and Lensch, Hendrik P. A.},
    year = {2006},
    publisher = {The Eurographics Association},
    ISSN = {1727-3463},
    ISBN = {3-905673-35-5},
    DOI = {10.2312/EGWR/EGSR06/083-092}
    }
    URI
    http://dx.doi.org/10.2312/EGWR/EGSR06/083-092
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    Theme by @mire NV
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