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Fast Rendering of Diffusion Curves with Triangles

机译:具有三角形的扩散曲线的快速渲染

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Diffusion curves are a new kind of primitive in vector graphics, capable of representing smooth color transitions among boundaries. Their rendering requires solving Poisson's equation; much previous research relied on traditional solvers, which commonly require GPU acceleration to achieve real-time rasterization. This obviously restricts deployment on the Internet—for example, as rich Internet applications, in which various computing environments are involved. Diffusion effects are similar to locally defined interpolation with a particular orientation and magnitude. Inspired by that observation, a mesh-based framework combined with mean value coordinates (MVC) interpolants efficiently renders diffusion curve images on a CPU. This method employs a visibility algorithm to efficiently find and sort neighboring curve nodes for each vertex. It then assigns the vertex colors according to MVC interpolation with the neighboring curve nodes. Experiments produced rendering results comparable to traditional solvers, but this method is computationally more efficient and runs much faster on a CPU.
机译:扩散曲线是矢量图形中的一种新图元,能够表示边界之间的平滑颜色过渡。它们的渲染需要求解泊松方程。以前的许多研究都依赖于传统的求解器,而传统的求解器通常需要GPU加速才能实现实时栅格化。这显然限制了在Internet上的部署,例如,作为涉及各种计算环境的富Internet应用程序。扩散效果类似于具有特定方向和大小的局部定义的插值。受此启发,基于网格的框架结合了平均值坐标(MVC)插值,可以在CPU上高效地绘制扩散曲线图像。该方法采用可见性算法来有效地查找和分类每个顶点的相邻曲线节点。然后根据与相邻曲线节点的MVC插值分配顶点颜色。实验产生的渲染结果可与传统求解器相提并论,但是这种方法在计算上更加高效,并且在CPU上的运行速度更快。

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