Semi-automatic control for data-driven computer graphics

数据驱动计算机图形学的半自动控制

• 批准号: 299068-2006
• 负责人: Brooks, Stephen
• 金额: $ 1.31万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2006
• 资助国家: 加拿大
• 起止时间: 2006-01-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=338433
• 关键词: Semi; automatic; control; data; driven

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.

许多计算机图形应用程序仍然属于专家领域。它们的典型特征是复杂的用户指导任务，通常需要精通设计、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减少图形应用程序的复杂性来进一步使计算机图形大众化，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。与解析方法不同，数据驱动图形从真实的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），所提出的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。