SGER: Perceptually-inspired Algorithms for Shape Processing and Abstraction

SGER：形状处理和抽象的感知启发算法当艺术家画一个特定的形状时，他们会忽略、扭曲和抽象其结构的各个方面，以使其更容易识别和理解。例如，制图师简化了地图上的形状细节，使它们更容易使用。在完成这个过程中，艺术家用自己的眼睛来判断他们的决定的效果，以达到成功的描绘。计算机没有这种奢侈，必须以不同的方式处理这个问题。本研究开发了一种基于人类视觉感知模型的计算方法来处理和抽象形状。因此，我们的系统可以预测观众将看到的形状，因此可以有效地描绘简化或扭曲的形状。我们的方法根据局部对称性处理形状，并将它们组织成感知部分的集合。某些部分被移除和操纵，以产生所需的原始形状的抽象描述。

SGER: Perceptually-inspired Algorithms for Shape Processing and AbstractionDoug DeCarloRutgers UniversityAbstractWhen an artist draws a particular shape, they omit, distort and abstract various aspects of its structure to make it more recognizable and understandable. For instance, cartographers simplify shape details on maps to make them easier to use. In accomplishing this, artists use their own eyes to judge the effects of their decisions, in order to reach a successful depiction. Computers don't have this luxury and must approach this differently. This research develops a computational approach to processing and abstracting shape that is based upon models of human visual perception. Our system can thus make predictions about what shape the viewer will see, and can therefore make effective depictions of simplified or distorted shapes. Our approach processes shapes in terms of local symmetries, and organizes them into a collection of perceptual parts. Certain parts are removed and manipulated in order to produce the desired abstract depiction of the original shape.