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Updated: Jul 6, 2025

3D Printing of Preclinical X-ray Computed Tomographic Data Sets
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3D Printing of Preclinical X-ray Computed Tomographic Data Sets

Published on: March 22, 2013

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视觉保护网维修 视觉保护网维修

Zhongtian Zheng, Xifeng Gao, Zherong Pan

    IEEE transactions on visualization and computer graphics
    |January 1, 2024
    PubMed
    概括
    此摘要是机器生成的。

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    本研究提出了一种新的网状维修框架,使用视觉措施来修复有缺陷的3D模型. 该方法有效地缩小了差距,重新定位了面部,并优化了网格,同时保持了各种应用的视觉质量和属性.

    科学领域:

    • 计算机图形 计算机图形
    • 几何建模 几何建模

    背景情况:

    • 网格维修对于模拟和制造等下游应用至关重要.
    • 有缺陷的网格带有空隙,孔隙和方向不一致,这带来了重大挑战.

    研究的目的:

    • 开发一个强大的网格维修框架,以解决常见的网格缺陷.
    • 在维修过程中保持视觉外观和几何精度.
    • 为了减少网状复杂性,而不会影响染和进一步加工的质量.

    主要方法:

    • 引入了基于光线追踪的三种视觉测量 (可见性,定向,开放性).
    • 开发了一个新的框架,将这些措施纳入开放表面关闭,面部重新定位和全球优化.
    • 保存了输入属性,例如用于染的紫外线坐标.

    主要成果:

    • 有效地修复了各种缺陷的网格,包括空隙,孔,自我交叉点和不一致的方向.
    • 减少了网状复杂性,同时保持了几何精度和视觉质量.
    • 在来自ShapeNet和Thingi10K的数百个模型上展示了强度和有效性.

    结论:

    • 拟议的网格维修框架提供了一个有效的解决方案,用于将缺陷网格转换为防水的多重管网格.

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  • 该方法成功地保留了视觉外观和基本属性,使各种计算机图形应用受益.
  • 这种方法是稳固的,在网状维修任务中优于现有的方法.