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    Procedural facade variations from a single layout

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    Name:
    2012.TOG.Bao.FacadeVariations.pdf
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    38.02Mb
    Format:
    PDF
    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Bao, Fan
    Schwarz, Michael
    Wonka, Peter cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Computer Science Program
    Visual Computing Center (VCC)
    Date
    2013-02-19
    Online Publication Date
    2013-02-19
    Print Publication Date
    2013-01-01
    Permanent link to this record
    http://hdl.handle.net/10754/575568
    
    Metadata
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    Abstract
    We introduce a framework to generate many variations of a facade design that look similar to a given facade layout. Starting from an input image, the facade is hierarchically segmented and labeled with a collection of manual and automatic tools. The user can then model constraints that should be maintained in any variation of the input facade design. Subsequently, facade variations are generated for different facade sizes, where multiple variations can be produced for a certain size. Computing such new facade variations has many unique challenges, and we propose a new algorithm based on interleaving heuristic search and quadratic programming. In contrast to most previous work, we focus on the generation of new design variations and not on the automatic analysis of the input's structure. Adding a modeling step with the user in the loop ensures that our results routinely are of high quality. © 2013 ACM.
    Citation
    Bao F, Schwarz M, Wonka P (2013) Procedural facade variations from a single layout. ACM Transactions on Graphics 32: 1–13. Available: http://dx.doi.org/10.1145/2421636.2421644.
    Sponsors
    This research was partially funded by the National Science Foundation. M. Schwarz was supported in part by a DAAD postdoctoral fellowship.
    Publisher
    Association for Computing Machinery (ACM)
    Journal
    ACM Transactions on Graphics
    DOI
    10.1145/2421636.2421644
    ae974a485f413a2113503eed53cd6c53
    10.1145/2421636.2421644
    Scopus Count
    Collections
    Articles; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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