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    • 39-Issue 1
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    Image‐Based Tree Variations

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    v39i1pp174-184.pdf (4.840Mb)
    Date
    2020
    Author
    Argudo, Oscar
    Andújar, Carlos
    Chica, Antoni
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    Abstract
    The automatic generation of realistic vegetation closely reproducing the appearance of specific plant species is still a challenging topic in computer graphics. In this paper, we present a new approach to generate new tree models from a small collection of frontal RGBA images of trees. The new models are represented either as single billboards (suitable for still image generation in areas such as architecture rendering) or as billboard clouds (providing parallax effects in interactive applications). Key ingredients of our method include the synthesis of new contours through convex combinations of exemplar countours, the automatic segmentation into crown/trunk classes and the transfer of RGBA colour from the exemplar images to the synthetic target. We also describe a fully automatic approach to convert a single tree image into a billboard cloud by extracting superpixels and distributing them inside a silhouette‐defined 3D volume. Our algorithm allows for the automatic generation of an arbitrary number of tree variations from minimal input, and thus provides a fast solution to add vegetation variety in outdoor scenes.
    BibTeX
    @article {10.1111:cgf.13752,
    journal = {Computer Graphics Forum},
    title = {{Image‐Based Tree Variations}},
    author = {Argudo, Oscar and Andújar, Carlos and Chica, Antoni},
    year = {2020},
    publisher = {© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13752}
    }
    URI
    https://doi.org/10.1111/cgf.13752
    https://diglib.eg.org:443/handle/10.1111/cgf13752
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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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