COMPUTATIONAL STEERING OF MOLECULAR DYNAMICS SIMULATION USING PIT

使用 PIT 进行分子动力学模拟的计算控制

• 批准号: 6120758
• 负责人: JAN PRINS
• 金额: $ 2.57万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-05-15 至 2000-05-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6120758
• 关键词: biomedical resource; computers; technology /technique

Over the last few years, we have developed algorithms for automatic simplification of models represented using polygons. Objects in a model may be replaced with automatically-generated "levels of detail" of various complexities, allowing a trade-off of fidelity for speed. During the past year, graduate student Jonathan Cohen continued work on the polyhedral minimizer started by Amitabh Varshney as part of his Ph.D. work. A major paper by Cohen, Varshney, et al. was published in Computer Graphics, the premier publication of the field. Cohen has continued the work to make the simplified surfaces look better by preserving surface normals and other properties. Our main contributions include algorithms for generating and measuring the quality of these levels of detail. This quality is measured in terms of three appearance attributes: surface position, surface curvature, and surface color. Ultimately, the user can control the fidelity/speed trade-off using a single, intuitive, screen-space error tolerance. Our algorithms use local and global error metrics for surface deviation. To preserve the overall appearance, we convert the input surface model to a representation that decouples the sampling of appearance attributes and stores the color and normals in texture and normal maps. The simplification algorithms also employ a texture deviation metric, which guarantees that these maps shift by no more than a user-specified number of pixels on the screen. These algorithms have been successfully applied to a number of models. Significance: The techniques also apply to isocontour surfaces in electron density maps. Plans: Cohen is completing his dissertation in the coming year. He has had another major paper accepted for publication in the July, 1998, issue of Computer Graphics.

在过去的几年里，我们开发了用于 使用多边形表示的模型的自动简化。 模型中的对象可以替换为自动生成的 各种复杂性的“细节层次”，允许权衡 对速度的忠诚。在过去的一年里，研究生乔纳森 Cohen继续研究由Amitabh开始的多面体极小 瓦什尼是他博士工作的一部分。科恩、瓦什尼的一篇重要论文 等人的研究。发表在《计算机图形学》上，这是 田野。科恩继续工作，使简化的 通过保留曲面法线和其他方法使曲面看起来更好 属性。我们的主要贡献包括生成 并测量这些细节级别的质量。这种品质是 根据三个外观属性来测量：表面位置， 曲面曲率和曲面颜色。最终，用户可以 使用单一、直观的 屏幕空间容错。我们的算法使用局部和全局 曲面偏差的误差度量。为了保持整体 外观，我们将输入表面模型转换为表示 ，它分离外观属性的采样并存储 纹理和法线贴图中的颜色和法线。简单化 算法还使用纹理偏差度量，这保证了 这些地图的移动量不超过用户指定的 屏幕上的像素。这些算法已经成功地应用于 卖给了很多车型。意义：这些技术也适用于 电子密度图中的等高线曲面。计划：科恩是 在来年完成他的论文。他又喝了一杯 1998年7月接受发表的主要论文， 计算机图形学。