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Self-Calibration of Catadioptric Camera with Two Planar Mirrors from Silhouettes

机译:带有轮廓的两个平面镜的折反射相机的自动校准

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摘要

If an object is interreflected between two planar mirrors, we may take an image containing both the object and its multiple reflections, i.e., simultaneously imaging multiple views of an object by a single pinhole camera. This paper emphasizes the problem of recovering both the intrinsic and extrinsic parameters of the camera using multiple silhouettes from one single image. View pairs among views in a single image can be divided into two kinds by the relationship between the two views in the pair: reflected by some mirror (real or virtual) and in a circular motion. Epipoles in the first kind of pairs can be easily determined from intersections of common tangent lines of silhouettes. Based on the projective properties of these epipoles, efficient methods are proposed to recover both the imaged circular points and the included angle between two mirrors. Epipoles in the second kind of pairs can be recovered simultaneously with the projection of intersection line between two mirrors by solving a simple 1D optimization problem using the consistency constraint of epipolar tangent lines. Fundamental matrices among views in a single image are all recovered. Using the estimated intrinsic and extrinsic parameters of the camera, a euclidean reconstruction can be obtained. Experiments validate the proposed approach.
机译:如果一个物体在两个平面镜之间相互反射,我们可以拍摄一个包含该物体及其多次反射的图像,即通过一个针孔照相机同时对一个物体的多个视图进行成像。本文强调了使用同一张图片中的多个轮廓来恢复相机的内在和外在参数的问题。通过一对视图中两个视图之间的关系,可以将单个图像中视图之间的视图对分为两种:由某个镜像(真实或虚拟)反射以及以圆周运动反射。从轮廓的公共切线的交点可以轻松确定第一种对中的极点。基于这些子极的射影特性,提出了一种有效的方法来恢复成像的圆点和两个反射镜之间的夹角。通过使用对极正切线的一致性约束来解决简单的一维优化问题,可以与两个反射镜之间的相交线的投影同时恢复第二对中的对极。单个图像中视图之间的基本矩阵都已恢复。使用估计的相机固有和非固有参数,可以获得欧几里得重建。实验验证了所提出的方法。

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