Point-Based and Image-Based Volumetric Rendering and Detail Modeling For Volume Graphics

“职业：基于点和基于图像的体绘制和体图形的细节建模“该项目将推进和促进体图形学在科学、工程、医学、教育和娱乐方面的新兴领域。它将开发新的数据表示，渲染技术和建模方案，这些都是为了使体积数据集的处理在广泛的应用领域中更加可行和现实。体积数据-本质上是体积中每个点的存储值-在计算科学和医学中最受欢迎。例如，计算流体动力学中的数学模拟产生流体在每个点处的压力和速度。类似地，像MRI、PET、SPECT和CT这样的医疗扫描仪在它们扫描的身体的每个点上产生值。最近，这些数据集的规模以惊人的速度增长。超过10亿个体积元素（体素）的医学数据集已经变得越来越频繁，模拟很快就会产生需要TB到PB存储的数据集。 需要开发有效的可视化方法，这些已被确定为一个直接的nationalinterest.Technically，这个项目解决了两个关键问题，在更大的领域的体积可视化。首先是持续缺乏交互式体绘制，这是由即使是中等大小的数据集的巨大的计算需求所阻碍。另一个是体积数据集固有的离散性。这一点很重要，因为它在现实和模型之间建立了一个边界，因此推动这个边界在应用程序中提供了更高的真实性。更具体地说，工作包括：基于点的数据表示，基于点的体积对象，基于图像的渲染，以协助体绘制和，细分体积与细节的需求。这一研究议程伴随着一个坚实的教育计划，为学生提供全面的知识，在相关领域的可视化，体绘制和体图形。这些领域相当多样化，从图像处理到用户界面再到计算机视觉。通过将所有研究整合到一个共同的应用程序中，促进了参与学生之间的团队合作。

"CAREER: Point-Based and Image-Based Volumetric Rendering and Detail Modeling For Volume Graphics"This project will advance and promote the emerging field of volume graphics for science, engineering, medicine, education, and entertainment. It will develop new data representations, rendering techniques, and modeling schemes that are all geared toward making the processing of volumetric datasets more feasible and realistic in a wide range of application domains. Volumetric data - essentially, stored values for every point in a volume - has been most popular in computational science and medicine. For example, a mathematical simulation in computational fluid dynamics produces pressure and speed of the fluid at every point. Similarly, medical scanners like MRI, PET, SPECT, and CT produce a value at every point in the body that they scan. Recently, the size of these datasets has grown at an alarming pace. Medical datasets of over one billion volume elements (voxels) have become frequent, and simulations will soon produce datasets that require terabytes to petabytes of storage. The need to develop efficient visualization methods for these has been identified as an immediate national interest.Technically, this project addresses two critical issues in the larger field of volume visualization. The first is the persistent lack of interactive volume rendering, which is hampered by the immense computational requirements of even moderate-sized datasets. The other is the inherently discrete nature of volumetric datasets. This is important because it establishes a boundary between reality and model, and pushing this boundary therefore provides increased realism in applications. More concretely, the work includes:Point-based representations of data, Point-based volumetric objects, Image-based rendering to assist in volume rendering and, Subdivision volumes with detail-on-demand.This research agenda is accompanied by a solid education plan that provides students with comprehensive knowledge in fields pertinent for visualization, volume rendering, and volume graphics. These fields are rather diverse, ranging from image processing to user interfaces to computer vision. Teamwork among the participating students is promoted by integrating all the research into a common application.