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A Review of Solutions for Perspective-n-Point Problem in Camera Pose Estimation

机译:相机姿态估计中透视 - N点问题解决方案述评

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As there is a rapid development of robotics in the field of automation engineering, ego-motion estimation has become a most challenging task. In this review, we presented a model to help describe the PnP problems, and introduced two most common solutions. The P3P solution is the smallest subset of control points that yields a finite number of solutions. The EPnP solution is to reduce the complexity by expressing the n 3D points as a weighted sum of four virtual control points. The former solution is widely applied while there are 3 pairs of corresponding points in the problem. However, in most real cases, the latter is more used.
机译:由于自动化工程领域的机器人快速发展,自我运动估计已成为最具挑战性的任务。在此评论中,我们提出了一种模型来帮助描述PNP问题,并引入了两个最常见的解决方案。 P3P解决方案是对照点的最小子集,产生有限数量的解决方案。 EPNP解决方案是通过表达N 3D点作为四个虚拟控制点的加权之和来降低复杂性。前一种解决方案是广泛应用的,同时存在3对对应的点。然而,在大多数实际情况下,后者更使用。

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