We present a new way to merge any two point distribution approaches using distance fields. Our new process allows us to produce digital stippling that fills areas with stipple dots without visual artifacts as well as includes clear linear features without fussiness. Our merging thus benefits from past work that can optimize for either goal individually, yet typically by sacrificing the other. The new possibility of combining any two distributions using different distance field functions and their parameters also allows us to produce a vast range of stippling styles, which we demonstrate as well.

翻译：我们提出了一种基于距离场融合任意两种点分布的新方法。该技术能够在点画区域实现无视觉伪影的墨点填充，同时清晰呈现线性特征而避免模糊。这种融合方法既继承了以往研究在单一目标优化（常以牺牲另一目标为代价）方面的成果，又通过使用不同距离场函数及其参数实现了任意两种点分布的组合，从而产生丰富的点画风格——文中对此亦进行了展示。