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    Structure completion for facade layouts

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    Name:
    2014.SGA.Fan.StructureCompletion.pdf
    Size:
    61.91Mb
    Format:
    PDF
    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Fan, Lubin cc
    Musialski, Przemyslaw
    Liu, Ligang
    Wonka, Peter cc
    KAUST Department
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Visual Computing Center (VCC)
    Date
    2014-11-18
    Online Publication Date
    2014-11-18
    Print Publication Date
    2014-11-19
    Permanent link to this record
    http://hdl.handle.net/10754/575797
    
    Metadata
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    Abstract
    (Figure Presented) We present a method to complete missing structures in facade layouts. Starting from an abstraction of the partially observed layout as a set of shapes, we can propose one or multiple possible completed layouts. Structure completion with large missing parts is an ill-posed problem. Therefore, we combine two sources of information to derive our solution: the observed shapes and a database of complete layouts. The problem is also very difficult, because shape positions and attributes have to be estimated jointly. Our proposed solution is to break the problem into two components: a statistical model to evaluate layouts and a planning algorithm to generate candidate layouts. This ensures that the completed result is consistent with the observation and the layouts in the database.
    Citation
    Fan L, Musialski P, Liu L, Wonka P (2014) Structure completion for facade layouts. ACM Transactions on Graphics 33: 1–11. Available: http://dx.doi.org/10.1145/2661229.2661265.
    Sponsors
    We thank the anonymous reviewers for their constructive comments. This research was partially funded by the Visual Computing Center of King Abdullah University of Science and Technology (KAUST), the National Natural Science Foundation of China (No. 61222206), the One Hundred Talent Project of the Chinese Academy of Sciences, the U.S. National Science Foundation (CCF 0643822), and the Austrian Science Funds (FWF P24600-N23).
    Publisher
    Association for Computing Machinery (ACM)
    Journal
    ACM Transactions on Graphics
    DOI
    10.1145/2661229.2661265
    Additional Links
    https://youtu.be/BDVC9hzUrgY
    https://youtu.be/R86N6aOrQPE
    Embedded External Content
    ae974a485f413a2113503eed53cd6c53
    10.1145/2661229.2661265
    Scopus Count
    Collections
    Articles; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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