IVIS INTERACTIVE VOLUME VISUAL USE MULTIRESOLUTION OBJECT SPACE POINT SPLATTING

IVIS 交互体积视觉使用多分辨率对象空间点喷射

• 批准号: 7724297
• 负责人: PAJAROLA B RENATO
• 金额: $ 0.26万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7724297
• 关键词: Algorithms; Computer Retrieval of Information on Scientific Projects Database; Data; Data Set; Development; Dimensions; Funding; Grant; Growth; Imagery; Institution; Investigation; Medical Imaging; Metric; Modeling; Numbers; Rate; Research; Research Personnel; Research Project Grants; Resources; Sampling; Source; System; Techniques; United States National Institutes of Health; Visual; base; insight; novel; size; three dimensional structure

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Interactive visualization of large volume data sets is a very important research problem and is critical in a number of application domains in scientific visualization and medical imaging. A major challenge in volume visualization is to overcome scalability problems associated with very large data sets that can reach thousands of samples in each dimension, and thus due to the exponential growth of the volume data result in intractable size. Therefore, it is critical to develop rendering algorithms and systems that scale well with size while maintaining interactive frame rates at high display quality. Direct volume rendering is amid the most effective and direct techniques to get insight into the 3D structure of volumetric scalar field data set. In this project we will develop a novel high-quality and efficient interactive direct volume rendering approach based on hardware accelerated point splatting. In particular, it includes the investigation and analysis of blending functions for smooth interpolation of the voxel grid, and the development of multiresolution volume models and error metrics for efficient level-ofdetail (LOD) based rendering. Furthermore, we will implement our volume rendering techniques on top of a scalable cluster rendering system. This research project will result in a novel and fast volume visualization technique that allows LOD-based direct volume rendering and isosurface visualization as well as support shading. Through hardware accelerated splatting we will achieve interactive frame rates, and the hierarchical organization as well as the cluster rendering system will provide scalability to large data sets.

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 海量数据集的交互可视化是一个非常重要的研究问题，在科学可视化和医学成像的许多应用领域中都是至关重要的。体可视化的一个主要挑战是克服与非常大的数据集相关的可扩展性问题，这些数据集可以达到每个维度上的数千个样本，因此由于体数据的指数增长导致难以处理的大小。因此，开发在保持高显示质量的交互帧速率的同时随大小良好缩放的渲染算法和系统是至关重要的。直接体绘制是了解体标量场数据集三维结构的最有效和最直接的技术之一。在本项目中，我们将开发一种新的基于硬件加速点溅射的高质量、高效的交互式直接体绘制方法。特别是，它包括用于体素网格平滑内插的混合函数的研究和分析，以及用于基于细节层次(LOD)的高效绘制的多分辨率体模型和误差度量的开发。此外，我们将在一个可伸缩的集群渲染系统上实现我们的体绘制技术。这一研究项目将产生一种新颖而快速的体可视化技术，允许基于LOD的直接体绘制和等值面可视化以及支持明暗处理。通过硬件加速溅射，我们将实现交互帧速率，分层组织以及集群渲染系统将为大数据集提供可扩展性。