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: 7369359
• 负责人: PAJAROLA B RENATO
• 金额: $ 0.51万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2007-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7369359
• 关键词: IVIS; INTERACTIVE; VOLUME; VISUAL; USE

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.

该子项目是利用 NIH/NCRR 资助的中心拨款提供的资源的众多研究子项目之一。子项目和研究者 (PI) 可能已从另一个 NIH 来源获得主要资金，因此可以在其他 CRISP 条目中得到体现。列出的机构是中心的机构，不一定是研究者的机构。大容量数据集的交互式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至关重要。体积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，这些数据集在每个维度上可以达到数千个样本，因此由于体积数据的指数增长导致了难以处理的大小。因此，开发能够随尺寸良好扩展的渲染算法和系统，同时在高显示质量下保持交互帧速率至关重要。直接体绘制是深入了解体标量场数据集 3D 结构的最有效、最直接的技术之一。在这个项目中，我们将开发一种基于硬件加速点喷射的新颖的高质量、高效的交互式直接体渲染方法。特别是，它包括对用于体素网格平滑插值的混合函数的研究和分析，以及用于基于高效细节级别 (LOD) 渲染的多分辨率体积模型和误差度量的开发。此外，我们将在可扩展的集群渲染系统之上实现体渲染技术。该研究项目将产生一种新颖且快速的体积可视化技术，该技术允许基于 LOD 的直接体积渲染和等值面可视化以及支持着色。通过硬件加速splatting，我们将实现交互式帧速率，并且分层组织以及集群渲染系统将为大数据集提供可扩展性。