Wang Yunhai, Chu Xiaowei, Zhang Kaiyi, Bao Chen, Li Xiaotong, Zhang Jian, Fu Chi-Wing, Hurter Christophe, Deussen Oliver, Lee Bongshin
IEEE Trans Vis Comput Graph. 2020 Jan;26(1):991-1000. doi: 10.1109/TVCG.2019.2934783. Epub 2019 Aug 20.
We present a new technique to enable the creation of shape-bounded Wordles, we call ShapeWordle, in which we fit words to form a given shape. To guide word placement within a shape, we extend the traditional Archimedean spirals to be shape-aware by formulating the spirals in a differential form using the distance field of the shape. To handle non-convex shapes, we introduce a multi-centric Wordle layout method that segments the shape into parts for our shape-aware spirals to adaptively fill the space and generate word placements. In addition, we offer a set of editing interactions to facilitate the creation of semantically-meaningful Wordles. Lastly, we present three evaluations: a comprehensive comparison of our results against the state-of-the-art technique (WordArt), case studies with 14 users, and a gallery to showcase the coverage of our technique.
我们提出了一种新的技术,用于创建形状受限的文字云,我们称之为ShapeWordle,即让单词组合形成给定的形状。为了引导单词在形状内的放置,我们将传统的阿基米德螺旋线扩展为形状感知型,通过使用形状的距离场以微分形式来构建螺旋线。为了处理非凸形状,我们引入了一种多中心文字云布局方法,将形状分割成多个部分,以便我们的形状感知螺旋线能够自适应地填充空间并生成单词放置位置。此外,我们提供了一组编辑交互功能,以方便创建具有语义意义的文字云。最后,我们进行了三项评估:将我们的结果与最先进的技术(WordArt)进行全面比较、对14名用户进行案例研究以及展示我们技术覆盖范围的图库。