Semi-automatic control for data-driven computer graphics

许多计算机图形应用程序仍然在专家的领域。 它们的典型特点是复杂的用户导向的任务，往往需要熟练的设计，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图像或对象操作命令的同样复杂的集合通常加剧了对该技能集的要求。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的专业知识;用户往往需要既是一个熟练的艺术家，以及拥有相当大的技术能力。 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限制纳入图形应用程序来实现，从而增加普通用户的可访问性。为了实现这一目标，我的目标是开发新的数据驱动技术应用到主要的图形问题。与分析方法不同，数据驱动图形从从真实的世界中提取的现有数据生成新的图形元素（如材质、几何体或运动）。 该研究适用于许多图形应用，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.