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    • CompAesth 17: Workshop on Computational Aesthetics
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    Soft Shadow Art

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    Date
    2017
    Author
    Min, Sehee
    Lee, Jaedong
    Won, Jungdam
    Lee, Jehee
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    Abstract
    Shadow art is a form of sculptural art in which the con guration of lights and sculptures cast 2D shadows for artistic e ect. Previous computational methods for the creation of shadow art assumes a single point light that casts a bitonal shadow with sharp boundary. e goal of our study is to generate grayscale shadows using an area light (or an array of point lights) and multiple layers of occluder cells. e area light source casts so shadows consisting of penumbra and umbra. e penumbra is the region in which only a portion of the light source is obscured by the occluders and the umbra is the region where the light sources are completely blocked by the occluders. Th e key challenge is to nd the arrangement of the occluders such that each pixel in the shadow region gathers light from the partially occluded light source to yield a desired tone level. e problem can be formulated as combinatorial optimization with many binary variables. We present a stochastic algorithm that converges quickly to the target shadow image. Our algorithm generalizes easily to deal with arbitrary lighting and geometry setups. We demonstrate the potential of our system with a number of tonal images and the fabrication of artistic ornaments that cast grayscale shadows.
    BibTeX
    @inproceedings {3092912.3092915,
    booktitle = {Computational Aesthetics},
    editor = {Holger Winnemoeller and Lyn Bartram},
    title = {{Soft Shadow Art}},
    author = {Min, Sehee and Lee, Jaedong and Won, Jungdam and Lee, Jehee},
    year = {2017},
    publisher = {Association for Computing Machinery, Inc (ACM)},
    ISSN = {1816-0859},
    ISBN = {978-1-4503-5080-8},
    DOI = {10.1145/3092912.3092915}
    }
    URI
    http://dx.doi.org/10.1145/3092912.3092915
    https://diglib.eg.org:443/handle/10.2312/cae2017a03
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