Image-based rendering of intersecting surfaces for dynamic comparative visualization

Image-based rendering of intersecting surfaces for dynamic comparative visualization
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基于图像的相交表面渲染,用于动态比较可视化

DOI:
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发表时间:
2011
期刊:
The Visual Computer
影响因子:
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通讯作者:
F. Post
F. Post
中科院分区:
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文献类型:
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作者:
Stef Busking;C. Botha;L. Ferrarini;J. Milles;F. Post

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嵌套或相交表面是用于可视化静态3D对象之间的形状差异的经证明的技术(Weigle和Taylor II,IEEE Visualization,Proceedings,pp.503 -510,2005)。在本文中,我们提出了一个基于图像的制定这些技术,扩展其使用的动态场景中,表面可以被操纵,甚至变形交互。该算法基于我们新的分层渲染流水线,一种基于深度剥离和延迟着色的嵌套曲面的通用图像渲染方法,使用分层渲染来增强相交曲面的可视化。除了实现交互式性能外,我们的增强功能还解决了原始技术的几个限制。等高线消除了交叉点形状的模糊性。可以使用深度雾化或距离场在任何点可视化表面之间的局部距离:深度雾化用作观察方向上两个表面之间距离的提示,而最近点距离测量通过评估一个表面在另一个表面上的距离场来交互可视化。此外,我们使用这些措施来定义一个三向表面分割,可视化区域的增长,收缩,并没有改变的测试表面与参考surface.Finally相比,我们展示了我们的技术在统计形状模型的可视化应用。我们根据医学图像分析研究人员提供的反馈来评估我们的技术,他们是使用此类模型的专家。
Nested or intersecting surfaces are proven techniques for visualizing shape differences between static 3D objects (Weigle and Taylor II, IEEE Visualization, Proceedings, pp. 503–510, 2005). In this paper we present an image-based formulation for these techniques that extends their use to dynamic scenarios, in which surfaces can be manipulated or even deformed interactively. The formulation is based on our new layered rendering pipeline, a generic image-based approach for rendering nested surfaces based on depth peeling and deferred shading.We use layered rendering to enhance the intersecting surfaces visualization. In addition to enabling interactive performance, our enhancements address several limitations of the original technique. Contours remove ambiguity regarding the shape of intersections. Local distances between the surfaces can be visualized at any point using either depth fogging or distance fields: Depth fogging is used as a cue for the distance between two surfaces in the viewing direction, whereas closest-point distance measures are visualized interactively by evaluating one surface’s distance field on the other surface. Furthermore, we use these measures to define a three-way surface segmentation, which visualizes regions of growth, shrinkage, and no change of a test surface compared with a reference surface.Finally, we demonstrate an application of our technique in the visualization of statistical shape models. We evaluate our technique based on feedback provided by medical image analysis researchers, who are experts in working with such models.