Semi-automatic control for data-driven computer graphics

许多计算机图形应用程序仍然属于专家的领域。因此，它们的特点通常是复杂的用户指导任务，通常需要熟练掌握设计、色彩空间、计算机交互和文件管理。此外，嵌入在各种界面组件中的一组同样复杂的图像或对象操作命令往往加剧了对这一技能的要求。这些图形应用程序的复杂性往往要求用户拥有相应的高水平专业知识；用户通常被要求既是一名熟练的艺术家，又具有相当的技术能力。这项研究的重点是通过降低图形应用程序的复杂性来进一步民主化计算机图形。这将通过半自动化和将美学约束纳入图形应用程序来实现，从而增加普通用户的可及性。为了实现这一点，我的目标是开发应用于主要图形问题的新型数据驱动技术。与分析方法不同，数据驱动图形学从现实世界中提取的现有数据生成新的图形元素(如材料、几何或运动)。此外，拟议的研究适用于许多图形应用程序，包括视频制作、建筑设计和所有形式的数字娱乐。

Many computer graphics applications remain in the domain of the specialist.  They are typically characterized by complex user-directed tasks, often requiring proficiency in design, colour spaces, computer interaction and file management.   Furthermore, the demands of this skill set are often exacerbated by an equally complex collection of image or object manipulation commands embedded in a variety of interface components. The complexity of these graphics applications often requires that the user possess a correspondingly high level of expertise; the user is often required to be both a skilled artist as well as possessing considerable technical competence.   The focus of this research is to further democratize computer graphics by reducing the complexity of graphics applications.  This will be achieved through semi-automation and by incorporating aesthetic constraints into graphics applications thereby increasing accessibility to the average user. To achieve this, I aim to develop novel data-driven techniques applied to principal graphics problems. Unlike analytic methods, data-driven graphics generates new graphics elements (such as materials, geometry, or motion) from existing data extracted from the real world.  The proposed research applies to many graphics applications including video production, architectural design and all forms of digital entertainment.