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Pose Space Surface Manipulation

机译:姿势空间表面操纵

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Example-based mesh deformation techniques produce natural and realistic shapes by learning the space of deformations from examples. However, skeleton-based methods cannot manipulate a global mesh structure naturally, whereas the mesh-based approaches based on a translational control do not allow the user to edit a local mesh structure intuitively. This paper presents an example-driven mesh editing framework that achieves both global and local pose manipulations. The proposed system is built with a surface deformation method based on a two-step linear optimization technique and achieves direct manipulations of a model surface using translational and rotational controls. With the translational control, the user can create a model in natural poses easily. The rotational control can adjust the local pose intuitively by bending and twisting. We encode example deformations with a rotation-invariant mesh representation which handles large rotations in examples. To incorporate example deformations, we infer a pose from the handle translations/rotations and perform pose space interpolation, thereby avoiding involved nonlinear optimization. With the two-step linear approach combined with the proposed multiresolution deformation method, we can edit models at interactive rates without losing important deformation effects such as muscle bulging.
机译:通过基于示例的变形空间,基于示例的网格变形技术可产生自然逼真的形状。但是,基于骨架的方法无法自然地操纵全局网格结构,而基于平移控件的基于网格的方法不允许用户直观地编辑局部网格结构。本文提出了一个示例驱动的网格编辑框架,该框架可实现全局和局部姿势操作。该系统采用基于两步线性优化技术的表面变形方法构建,并使用平移和旋转控制实现了模型表面的直接操作。使用平移控件,用户可以轻松地以自然姿势创建模型。旋转控件可以通过弯曲和扭曲直观地调整局部姿势。我们使用旋转不变的网格表示对示例变形进行编码,该网格可处理示例中的大旋转。为了合并示例变形,我们从手柄平移/旋转中推断出一个姿势并执行姿势空间插值,从而避免了涉及的非线性优化。通过将两步线性方法与所提出的多分辨率变形方法相结合,我们可以以交互速率编辑模型,而不会丢失重要的变形效果,例如肌肉膨出。

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