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    Sparse Representation of Terrains for Procedural Modeling

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    Date
    2016
    Author
    Guérin, Eric
    Digne, Julie
    Galin, Eric ORCID
    Peytavie, Adrien
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    Abstract
    In this paper, we present a simple and efficient method to represent terrains as elevation functions built from linear combinations of landform features (atoms). These features can be extracted either from real world data-sets or procedural primitives, or from any combination of multiple terrain models. Our approach consists in representing the elevation function as a sparse combination of primitives, a concept which we call Sparse Construction Tree, which blends the different landform features stored in a dictionary. The sparse representation allows us to represent complex terrains using combinations of atoms from a small dictionary, yielding a powerful and compact terrain representation and synthesis tool. Moreover, we present a method for automatically learning the dictionary and generating the Sparse Construction Tree model. We demonstrate the efficiency of our method in several applications: inverse procedural modeling of terrains, terrain amplification and synthesis from a coarse sketch.
    BibTeX
    @article {10.1111:cgf.12821,
    journal = {Computer Graphics Forum},
    title = {{Sparse Representation of Terrains for Procedural Modeling}},
    author = {Guérin, Eric and Digne, Julie and Galin, Eric and Peytavie, Adrien},
    year = {2016},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.12821}
    }
    URI
    http://dx.doi.org/10.1111/cgf.12821
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    • 35-Issue 2
    • EG 2016 - Full Papers - CGF 35-Issue 2

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    System hosted at  Graz University of Technology.
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