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首页> 外文期刊>ACM Transactions on Graphics >Joint-aware Manipulation of Deformable Models
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Joint-aware Manipulation of Deformable Models

机译:变形模型的联合感知操纵

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Complex mesh models of man-made objects often consist of multiple components connected by various types of joints. We propose a joint-aware deformation framework that supports the direct manipulation of an arbitrary mix of rigid and deformable components. First we apply slippable motion analysis to automatically detect multiple types of joint constraints that are implicit in model geometry. For single-component geometry or models with disconnected components, we support user-defined virtual joints. Then we integrate manipulation handle constraints, multiple components, joint constraints, joint limits, and deformation energies into a single volumetric-cell-based space deformation problem. An iterative, parallelized Gauss-Newton solver is used to solve the resulting nonlinear optimization. Interactive deformable manipulation is demonstrated on a variety of geometric models while automatically respecting their multi-component nature and the natural behavior of their joints.
机译:人造对象的复杂网格模型通常由通过各种类型的关节连接的多个组件组成。我们提出了一个联合感知的变形框架,该框架支持直接操纵刚性和可变形组件的任意组合。首先,我们应用可滑动运动分析来自动检测模型几何中隐含的多种类型的关节约束。对于单零件几何或零件断开的模型,我们支持用户定义的虚拟接头。然后,我们将操纵手柄约束,多个组件,关节约束,关节极限和变形能量整合到单个基于体积单元的空间变形问题中。迭代并行化的高斯-牛顿求解器用于求解所得的非线性优化。在各种几何模型上演示了交互式可变形操纵,同时自动尊重它们的多组件性质和关节的自然行为。

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