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An Efficient Camera Path Computation Using Image-Space Information in Virtual Endoscopy

机译:使用虚拟内窥镜检查中的图像空间信息的有效相机路径计算

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In virtual endoscopy, fast and accurate path generation and navigation is the most important feature. Previous methods made a center line of organ cavity by connecting consecutive points maximally distant from organ wall. However they have some problems to demand a lot of computation and extra storage for spatial data structures. We propose an efficient path computation algorithm. It determines camera direction for the next frame identifying a ray that has maximum depth in current frame. Camera position is determined by using the center of gravity of organ's cross-section. Entire camera path can be constructed by applying the operation in every frame. It doesn't require preprocessing and extra storage since it depends only on image-space information generated in rendering time.
机译:在虚拟内窥镜检查中,快速准确的路径生成和导航是最重要的功能。以前的方法通过将连续点从器官壁最大限地连接到连续点来制成器官腔的中心线。然而,他们有一些问题需要为空间数据结构提供大量的计算和额外的存储。我们提出了一种有效的路径计算算法。它确定用于识别当前帧中具有最大深度的光线的下一帧的摄像机方向。相机位置是通过使用器官横截面的重心确定的。通过在每个帧中应用操作来构建整个摄像机路径。它不需要预处理和额外的存储,因为它仅取决于在渲染时间中产生的图像空间信息。

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