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: 6326166
• 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: 2000
• 资助国家: 美国
• 起止时间: 2000-05-15 至 2001-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6326166
• 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，我们开发了以下算法： 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对象 各种复杂性的“细节级别”，允许权衡 速度保真度。 在过去的一年里，研究生乔纳森 科恩继续研究阿米塔布发起的多面体最小化器 瓦什尼作为他的博士学位的一部分。工作。 科恩、瓦什尼的一篇重要论文， 等人。发表在《计算机图形学》（Computer Graphics）上，这是 领域。 科恩继续致力于简化 通过保留表面法线和其他表面，表面看起来更好 特性。 我们的主要贡献包括生成算法 并衡量这些细节级别的质量。 这个品质是 根据三个外观属性进行测量：表面位置、 表面曲率和表面颜色。 最终，用户可以 使用单个直观的控制保真度/速度权衡 屏幕空间容错。 我们的算法使用局部和全局 表面偏差的误差度量。 为了保存整体 外观，我们将输入表面模型转换为表示 解耦外观属性的采样并存储 纹理和法线贴图中的颜色和法线。 简化 算法还采用纹理偏差度量，这保证了 这些地图的移动不超过用户指定的数量 屏幕上的像素。 这些算法已成功应用 到许多型号。 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 来年完成他的论文。 他已经有了另一个 1998年7月号接受发表的主要论文 计算机图形学。