Algorithmic Development of Visualization Under Foveated Geometries

焦点几何下可视化的算法开发

• 批准号: 9619846
• 负责人: Chee Yap
• 金额: $ 18.48万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-03-01 至 2000-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9619846&HistoricalAwards=false
• 关键词: Algorithmic; Development; Visualization; Under; Foveated

This project concerns the use of foveated geometries for scientific visualization applications. Two main motivations for such geometries are (1) the analogy with biological vision systems, and (2) their remarkably reduced pixel density that is logarithmic in the radius of the visual field. To compensate for the loss of peripheral vision in foveated geometries, the approach of active visualization is to allow the user interactive control of several parameters of vision, including rapid saccades and adjustable resolution. These are new capabilities, to be added to the more conventional navigational control. Foveated geometries will be a key to making current visualization systems more robust, scalable and extendible. The project will investigate three main areas: - Algorithms and data structures for rendering and manipulating foveated images. - Wavelet theory and algorithms for a corresponding concept of foveated multiresolution. - Application of active visualization in "thin-wire models" of computation such as the internet. In a typical "thin-wire" visualization scenario, imagine an image server with powerful computational resources, a client displaying images with the the computational power of stock PC's, and between them, a thin-wire. In current visualization applications, the bandwidth usage from client to server is negligible but the bandwidth in the other direction is a severe bottleneck. In exchange for a modest amount of bandwidth going from client to image server, active visualization is able to remove this bottleneck. Such a development can have major impact on visualization. ***

这个项目关注的是在科学可视化应用中使用中心凹几何。 这种几何形状的两个主要动机是（1）与生物视觉系统的类比，以及（2）它们显著降低的像素密度，即视野半径的对数。 为了补偿中央凹几何形状中周边视觉的损失，主动可视化的方法是允许用户交互控制视觉的几个参数，包括快速扫视和可调节的分辨率。 这些都是新的能力，将被添加到更传统的导航控制。 中心凹几何体将是使当前可视化系统更加强大，可扩展和可扩展的关键。 该项目将调查三个主要领域： - 用于渲染和操纵有中心凹的图像的算法和数据结构。 - 小波理论与算法中相应的一个概念是foveated多分辨率。 - 主动可视化在互联网等计算的“细线模型”中的应用。 在一个典型的“细线”可视化场景中，想象一个具有强大计算资源的图像服务器，一个具有普通PC计算能力的显示图像的客户端，以及它们之间的细线。 在当前的可视化应用中，从客户端到服务器的带宽使用可以忽略不计，但在另一个方向上的带宽是一个严重的瓶颈。 作为从客户端到图像服务器的适度带宽的交换，主动可视化能够消除这个瓶颈。 这种发展可能对可视化产生重大影响。 ***