Procedural Tree Modeling with Guiding Vectors.

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Bibliographic Details
Title: Procedural Tree Modeling with Guiding Vectors.
Authors: Xu, Ling1 lingxu@cmail.carleton.ca, Mould, David1 mould@scs.carleton.ca
Source: Computer Graphics Forum. Oct2015, Vol. 34 Issue 7, p47-56. 10p. 19 Color Photographs, 1 Illustration.
Subjects: Real-time rendering (Computer graphics), Plants, Photography, Weighted graphs, Vectors (Calculus), Edge detection (Image processing), Algorithms, Computer-generated imagery
Abstract: We propose guiding vectors to augment graph-based tree synthesis, in which trees are collections of least-cost paths in a graph. Each node has an associated guiding vector; edges parallel to the guiding vector are cheap, but edges are more expensive when their orientation differs from the guiding vector. We further propose an incremental method for assigning guiding vectors over the graph, in which a node's guiding vector is an incremental rotation of that of its parent. We present a complete procedural system for tree modeling; our use of guiding vectors enables the graph-based method to produce high-quality tree models resembling a variety of real-world tree species. [ABSTRACT FROM AUTHOR]
Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Procedural Tree Modeling with Guiding Vectors.
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  Data: <searchLink fieldCode="AR" term="%22Xu%2C+Ling%22">Xu, Ling</searchLink><relatesTo>1</relatesTo><i> lingxu@cmail.carleton.ca</i><br /><searchLink fieldCode="AR" term="%22Mould%2C+David%22">Mould, David</searchLink><relatesTo>1</relatesTo><i> mould@scs.carleton.ca</i>
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  Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. Oct2015, Vol. 34 Issue 7, p47-56. 10p. 19 Color Photographs, 1 Illustration.
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  Data: <searchLink fieldCode="DE" term="%22Real-time+rendering+%28Computer+graphics%29%22">Real-time rendering (Computer graphics)</searchLink><br /><searchLink fieldCode="DE" term="%22Plants%22">Plants</searchLink><br /><searchLink fieldCode="DE" term="%22Photography%22">Photography</searchLink><br /><searchLink fieldCode="DE" term="%22Weighted+graphs%22">Weighted graphs</searchLink><br /><searchLink fieldCode="DE" term="%22Vectors+%28Calculus%29%22">Vectors (Calculus)</searchLink><br /><searchLink fieldCode="DE" term="%22Edge+detection+%28Image+processing%29%22">Edge detection (Image processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Computer-generated+imagery%22">Computer-generated imagery</searchLink>
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  Data: We propose guiding vectors to augment graph-based tree synthesis, in which trees are collections of least-cost paths in a graph. Each node has an associated guiding vector; edges parallel to the guiding vector are cheap, but edges are more expensive when their orientation differs from the guiding vector. We further propose an incremental method for assigning guiding vectors over the graph, in which a node's guiding vector is an incremental rotation of that of its parent. We present a complete procedural system for tree modeling; our use of guiding vectors enables the graph-based method to produce high-quality tree models resembling a variety of real-world tree species. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/cgf.12744
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 47
    Subjects:
      – SubjectFull: Real-time rendering (Computer graphics)
        Type: general
      – SubjectFull: Plants
        Type: general
      – SubjectFull: Photography
        Type: general
      – SubjectFull: Weighted graphs
        Type: general
      – SubjectFull: Vectors (Calculus)
        Type: general
      – SubjectFull: Edge detection (Image processing)
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Computer-generated imagery
        Type: general
    Titles:
      – TitleFull: Procedural Tree Modeling with Guiding Vectors.
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            NameFull: Xu, Ling
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            NameFull: Mould, David
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          Dates:
            – D: 01
              M: 10
              Text: Oct2015
              Type: published
              Y: 2015
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              Value: 34
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              Value: 7
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            – TitleFull: Computer Graphics Forum
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