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Fast and High Quality Illustration of Skinned Meshes in Image Space

机译:皮肤的纹理的快速和高质量的例证在图象空间的

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摘要

Line drawings are widely used in conveying shape and meaning for a broad range of objects with a minimum visual representation of a scene. As for large scale animated skinned meshes, efficiency and the quality of surface deformation matters the most. Although image space method is much more efficient than the other line drawing method, i.e. object space method, it's precision on the line extraction is easily affected by noise on the rendered image. This paper provides a new illustration technique to get a well-depicted shaded model in image space which is suitable for large scale skin meshes. We firstly provide an efficient and robust algorithm to recover normals of skinned meshes. Then we apply a L0 gradient minimization to the deformed shading mesh before the suggestive contour detection in image space. The experimental results reveal that our method can illustrate large scale animated models with both accuracy and high-efficiency.
机译:线图广泛用于传送形状和意义,用于广泛的物体,具有最小的场景视觉表示。至于大规模动画皮肤的网格,效率和表面变形质量最重要。虽然图像空间方法比其他线条绘图方法更有效,但是对象空间方法,它在线提取的精度容易受到渲染图像上的噪声影响。本文提供了一种新的插图技术,可以在图像空间中获得良好的阴影模型,该模型适用于大型皮肤网格。我们首先提供一种高效且强大的算法来恢复皮肤网格的正常。然后,在图像空间中的暗示轮廓检测之前,我们将L0梯度最小化应用于变形的着色网格。实验结果表明,我们的方法可以通过精度和高效率来说明大规模的动画模型。

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