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    • 41-Issue 2
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    ZoomShop: Depth-Aware Editing of Photographic Composition

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    Date
    2022
    Author
    Liu, Sean J.
    Agrawala, Maneesh
    DiVerdi, Stephen
    Hertzmann, Aaron ORCID
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    Abstract
    We present ZoomShop, a photographic composition editing tool for adjusting relative size, position, and foreshortening of scene elements. Given an image and corresponding depth map as input, ZoomShop combines a novel non-linear camera model and a depth-aware image warp to reproject and deform the image. Users can isolate objects by selecting depth ranges and adjust their scale and foreshortening, which controls the paths of the camera rays through the scene. Users can also select 2D image regions and translate them, which determines the objective function in the image warp optimization. We demonstrate that ZoomShop can be used to achieve useful compositional goals, such as making a distant object more prominent while preserving foreground scenery, or making objects both larger and closer together so they still fit in the frame.
    BibTeX
    @article {10.1111:cgf.14458,
    journal = {Computer Graphics Forum},
    title = {{ZoomShop: Depth-Aware Editing of Photographic Composition}},
    author = {Liu, Sean J. and Agrawala, Maneesh and DiVerdi, Stephen and Hertzmann, Aaron},
    year = {2022},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.14458}
    }
    URI
    https://doi.org/10.1111/cgf.14458
    https://diglib.eg.org:443/handle/10.1111/cgf14458
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    • 41-Issue 2

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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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