Depiction and Perception of Shape in Line Drawings

线条画中形状的描绘和感知

• 批准号: 0541185
• 负责人: Douglas DeCarlo
• 金额: $ 30万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-10-01 至 2011-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0541185&HistoricalAwards=false
• 关键词: Depiction; Perception; Shape; Line; Drawings

Depiction and Perception of Shape in Line Drawings Doug DeCarlo, Manish Singh and Matthew Stone Rutgers UniversityAbstractBecause they can focus on what is essential about a scene, line drawings are a fundamental way of conveying shape that are often preferred over realistic representations,. This research couples the development of computer-based methods to synthesize line drawings with experiments on human observers that reveal how line drawings are perceived and interpreted. The ultimate goal is to produce depictions of 3D shape that are easier to understand. By improving line drawings, this research improves a source of communicative imagery that could become ubiquitous---appearing in better maps, more flexible and customizable technical and medical illustration, more broadly accessible scientific visualization, and many other applications. At the same time, new interactive techniques promise to make computer representation of 3D objects accessible to a wider range of users for a wider range of tasks and on a wider range of platforms.This research involves three interrelated thrusts: (1) Computational studies are used to characterize the ambiguity inherent in interpreting line drawings and to develop new line styles that aim to reduce this ambiguity; (2) Experimental studies that probe the visual perception of 3D shape are used to discover what shape information human viewers gather from line drawings; and (3) The investigators are developing applications that exploit a perceptual model derived from the experimental studies in order to guide the placement of lines in drawings, and to guide the interpretation of hand-drawn sketches for interactive model construction.

线条画中的形状描述和感知道格·德卡洛，马尼什·辛格和马修·斯通罗格斯大学摘要因为他们可以专注于一个场景的本质，线条画是传达形状的基本方式，通常比现实表现更受欢迎。 本研究将基于计算机的方法的发展与人类观察者的实验相结合，以揭示线条画是如何被感知和解释的。 最终目标是生成更容易理解的3D形状的草图。 通过改进线条画，这项研究提高了沟通图像的来源，可以变得无处不在-出现在更好的地图，更灵活和可定制的技术和医学插图，更广泛的科学可视化，以及许多其他应用程序。 与此同时，新的交互技术使三维物体的计算机表示能够为更广泛的用户提供更广泛的任务和更广泛的平台，本研究涉及三个相互关联的主题：（1）使用计算研究来描述解释线条图中固有的模糊性，并开发旨在减少这种模糊性的新线条样式;（2）通过对三维形状视觉感知的实验研究，揭示了观察者从线条画中获取了什么样的形状信息;（3）研究人员正在开发应用程序，利用从实验研究中得出的感知模型来指导绘画中线条的放置，并指导解释交互式模型构建的手绘草图。