Modeling and generating moving trees from video
Modeling and generating moving trees from video
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DOI：
10.1145/2024156.2024161
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发表时间：
2011-12
期刊：
影响因子：
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通讯作者：
Chuan Li;O. Deussen;Yi-Zhe Song;P. Willis;P. Hall
中科院分区：
文献类型：
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作者：
Chuan Li;O. Deussen;Yi-Zhe Song;P. Willis;P. Hall
我们提出了一个概率的方法自动生产的树木模型，令人信服的三维外观和运动。唯一的输入是一个移动的树的视频，它为我们提供了一个初始的动态树模型，用于生成相同类型的新的单独的树。我们的方法结合了全局和局部约束，从2D骨架构建动态3D树模型。我们的建模考虑了树枝的形状、树的整体形状和物理上合理的运动等因素。此外，我们提供了一个生成模型，在3D中创建多棵树，给定一个示例模型。这意味着用户不再需要单独制作每棵树，也不必指定规则来制作新树。提供了不同物种的结果，并与参考输入数据和最新替代品进行了比较。
We present a probabilistic approach for the automatic production of tree models with convincing 3D appearance and motion. The only input is a video of a moving tree that provides us an initial dynamic tree model, which is used to generate new individual trees of the same type. Our approach combines global and local constraints to construct a dynamic 3D tree model from a 2D skeleton. Our modeling takes into account factors such as the shape of branches, the overall shape of the tree, and physically plausible motion. Furthermore, we provide a generative model that creates multiple trees in 3D, given a single example model. This means that users no longer have to make each tree individually, or specify rules to make new trees. Results with different species are presented and compared to both reference input data and state of the art alternatives.