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Similarity measures for intersection of camera view frustums

机译:相机视锥平角相交的相似性度量

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For a moving camera recognizing that it has seen a place before now, is one the most important issues in the 3D reconstruction problems. In these problems, the main goal is to create a three-dimensional model from a sequence of 2D captured images during different times. That part of the scene which is rendered by a camera is often modeled by a frustum. Calculating the amount of intersection of two camera view frustums at different times can help to solve this problem. However, there are two major difficulties. First, calculating the intersection of two frustums, in general, is so complicated. And second, there are some uncertainties in the moving camera parameters over time. In this paper, we addressed these issues by estimating a camera view frustum with its circumscribed sphere and introducing some similarity measures based on this estimation.
机译:对于移动摄像机而言,认识到它之前已经存在过,是3D重建问题中最重要的问题之一。在这些问题中,主要目标是根据不同时间的2D捕获图像序列创建三维模型。摄像机渲染的那部分场景通常是用平截头体建模的。计算不同时间的两个相机视图视锥的相交量可以帮助解决此问题。但是,存在两个主要困难。首先,通常,计算两个平截头体的交点非常复杂。其次,随着时间的推移,运动的摄像机参数存在一些不确定性。在本文中,我们通过估计摄像机视锥与外接球体并基于此估计引入一些相似性度量来解决这些问题。

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