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High quality rendering for point sampled geometry.

机译:点采样几何的高质量渲染。

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摘要

In recent years, point sampled geometry models have received growing attention in computer graphics. Compared with polygon based models, the quality of rendered images for point sampled geometry is much lower, so far. This is primarily due to the discrete form of representing a 3D surface just by sample points. Clearly more effort is needed in rendering techniques for point sampled models. In this thesis, we describe the results of our efforts towards producing high quality images for point based geometry. We adapt a number of advanced mesh rendering techniques for discrete surfaces represented as point clouds. These techniques include self shadowing effects using ambient occlusion, diffuse lighting estimation using spherical harmonic representations of irradiance environment maps and specular lighting estimation by casting a reflected ray at each point into a pre-blurred version of the environment map. Ambient occlusion computations are improved by using octree hierarchy based on feature analysis of the point cloud data. Other lighting calculations are performed directly on the Graphics Processing Unit (GPU) using vertex and fragment shaders. We improve the overall rendering quality and speed by combining pre-computed ambient occlusion results with environment lighting and procedural textures directly on the GPU. The adapted techniques have been implemented as a plug in for the Pointshop3D public domain software system.
机译:近年来,点采样几何模型在计算机图形学中越来越受到关注。与基于多边形的模型相比,到目前为止,用于点采样几何的渲染图像的质量要低得多。这主要是由于仅通过采样点代表3D表面的离散形式。显然,在点采样模型的渲染技术上需要付出更多的努力。在本文中,我们描述了我们努力为基于点的几何图形生成高质量图像的结果。我们对表示为点云的离散曲面采用了许多高级网格渲染技术。这些技术包括使用环境光遮挡的自遮蔽效果,使用辐照环境图的球谐函数表示的漫射照明估计以及通过将每个点处的反射光线投射到环境图的预模糊版本中来进行镜面照明估计。通过使用基于点云数据特征分析的八叉树层次结构,可以改善环境遮挡的计算。其他照明计算是使用顶点和片段着色器直接在图形处理单元(GPU)上执行的。通过将预先计算的环境光遮挡结果与环境光照和过程纹理直接结合在GPU上,我们提高了整体渲染质量和速度。改编的技术已实现为Pointshop3D公共领域软件系统的插件。

著录项

  • 作者

    Liu, Feng.;

  • 作者单位

    Concordia University (Canada).;

  • 授予单位 Concordia University (Canada).;
  • 学科 Computer Science.
  • 学位 M.Comp.Sc.
  • 年度 2006
  • 页码 55 p.
  • 总页数 55
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

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