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Coplanar Common Points in Non-centric Cameras

机译:非中心相机的共面共同点

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Discovering and extracting new image features pertaining to scene geometry is important to 3D reconstruction and scene understanding. Examples include the classical vanishing points observed in a centric camera and the recent coplanar common points (CCPs) in a crossed-slit camera. A CCP is a point in the image plane corresponding to the intersection of the projections of all lines lying on a common 3D plane. In this paper, we address the problem of determining CCP existence in general non-centric cameras. We first conduct a ray-space analysis to show that finding the CCP of a 3D plane is equivalent to solving an array of ray constraint equations. We then derive the necessary and sufficient conditions for CCP to exist in an arbitrary non-centric camera such as non-centric catadioptric mirrors. Finally, we present robust algorithms for extracting the CCPs from a single image and validate our theories and algorithms through experiments.
机译:发现和提取与场景几何有关的新图像功能对于三维重建和场景了解很重要。 示例包括在一个中心的相机和最近在交叉狭缝相机中观察到的经典消失点。 CCP是与位于公共3D平面上的所有线的投影的交叉点对应的图像平面中的点。 在本文中,我们解决了在一般非中心相机中确定了CCP存在的问题。 我们首先进行光线空间分析,以表明找到3D平面的CCP相当于求解射线约束方程阵列。 然后,我们为CCP获得了必要的和充分条件,以便在任意非中心的相机中存在,例如非以中心的昏暗的镜子。 最后,我们提出了从单个图像中提取CCP的强大算法,并通过实验验证我们的理论和算法。

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