Feature-based Rendering

这项研究探索了一种有效地产生逼真的计算机图形图像的方法。计算机图形学的应用对生成准确、令人信服的复杂场景图像的能力提出了越来越高的要求。这类应用的例子包括建筑和工程设计、虚拟培训、远程协作以及游戏和电影渲染。然而，场景的大部分复杂性通常与人类如何感知渲染的图像无关。这项研究探索的方法是利用人类视觉系统的局限性，自动将计算精力集中在对说服眼睛很重要的视觉特征上，同时节省眼睛对差异不敏感的时间。这项研究开发了新的基于特征的计算机图形绘制技术，以更有效地处理未来应用程序所需的大型、复杂、逼真的场景。研究的目标是一种可伸缩的、基于特征的图形管道，它显式地显示从建模到最终渲染图像的每个级别的特征。如果计算工作量与视觉特征成比例，则计算成本与输出图像的内在视觉复杂性成比例，而不是与场景复杂性的其他度量(如多边形数)成比例。这样的图形流水线从根本上来说更具可伸缩性。研究人员正在研究寻找视觉上重要特征的高效算法，用于高质量建模和显示的基于特征的新场景和显示表示，以及利用特征提供可伸缩、高效、高质量图像合成的新渲染算法。

This research investigates a way to efficiently produce realistic computer graphics images. Applications of computer graphics are placing an ever-increasing demand on the ability to produce accurate, convincing images of complex scenes. Examples of such applications include architectural and engineering design, virtual training, telecollaboration, and game and movie rendering. However, much of the scene complexity is usually irrelevant to how humans perceive the rendered image. The approach explored by this research isto exploit the limitations of the human visual system by automatically focusing computational effort on the visual features that are important for convincing the eye, while saving time where the eye would be insensitive to the difference. This research develops new, feature-based computer graphics rendering techniques that more efficiently handle the large, complex, realistic scenes needed by future applications.The goal of the research is a scalable, feature-based graphics pipeline that exposes features explicitly at every level from modeling to the final rendered image. If computational work is proportional to visual features, the computational cost is proportional to the intrinsic visual complexity of the output image rather than to other measures of scene complexity such as polygon count. Such a graphics pipeline is fundamentally more scalable. The researchers are investigating efficient algorithms for finding visually important features, new feature-based scene and display representations for high-quality modeling and display, and new rendering algorithms that exploit features to provide scalable, efficient, high-quality image synthesis.