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Parameterization, Feature Extraction and Binary Encoding for the Visualization of Tree‐Like Structures
Computer Graphics Forum ( IF 2.5 ) Pub Date : 2019-11-19 , DOI: 10.1111/cgf.13888
N. Lichtenberg 1 , K. Lawonn 2
Affiliation  

The study of vascular structures, using medical 3D models, is an active field of research. Illustrative visualizations have been applied to this domain in multiple ways. Researchers made the geometric properties of vasculature more comprehensive and augmented the surface with representations of multivariate clinical data. Techniques that head beyond the application of colour‐maps or simple shading approaches require a surface parameterization, that is, texture coordinates, in order to overcome locality. When extracting 3D models, the computation of texture coordinates on the mesh is not always part of the data processing pipeline. We combine existing techniques to a simple parameterization approach that is suitable for tree‐like structures. The parameterization is done w.r.t. to a pre‐defined source vertex. For this, we present an automatic algorithm, that detects the tree root. The parameterization is partly done in screen‐space and recomputed per frame. However, the screen‐space computation comes with positive features that are not present in object‐space approaches. We show how the resulting texture coordinates can be used for varying hatching, contour parameterization, display of decals, as additional depth cues and feature extraction. A further post‐processing step based on parameterization allows for a segmentation of the structure and visualization of its tree topology.

中文翻译:

树状结构可视化的参数化、特征提取和二进制编码

使用医学 3D 模型研究血管结构是一个活跃的研究领域。说明性可视化已以多种方式应用于该领域。研究人员使脉管系统的几何特性更加全面,并通过多变量临床数据的表示来增强表面。超越颜色图或简单着色方法应用的技术需要表面参数化,即纹理坐标,以克服局部性。在提取 3D 模型时,网格上纹理坐标的计算并不总是数据处理管道的一部分。我们将现有技术与适用于树状结构的简单参数化方法相结合。参数化是针对预定义的源顶点完成的。为了这,我们提出了一种检测树根的自动算法。参数化部分在屏幕空间中完成并每帧重新计算。然而,屏幕空间计算具有在对象空间方法中不存在的积极特征。我们展示了生成的纹理坐标如何用于不同的阴影、轮廓参数化、贴花显示,以及附加深度提示和特征提取。基于参数化的进一步后处理步骤允许对结构进行分割并对其树形拓扑进行可视化。我们展示了生成的纹理坐标如何用于不同的阴影、轮廓参数化、贴花显示,以及附加深度提示和特征提取。基于参数化的进一步后处理步骤允许对结构进行分割并对其树形拓扑进行可视化。我们展示了生成的纹理坐标如何用于不同的阴影、轮廓参数化、贴花显示,以及附加深度提示和特征提取。基于参数化的进一步后处理步骤允许对结构进行分割并对其树形拓扑进行可视化。
更新日期:2019-11-19
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