A simple, robust and fast method for the perspective-n-point Problem
Ping Wang1; Guili Xu1; Yuehua Cheng2; Qida Yu1
2018
发表期刊Pattern Recognition Letters
卷号108期号:Jun 1页码:31-37
摘要

In this work, we present a simple, robust and fast method to the perspective-n-point (PnP) problem for determining the position and orientation of a calibrated camera from known reference points. Our
method transfers the pose estimation problem into an optimal problem, and only needs to solve a seventh-order and a fourth-order univariate polynomial, respectively, which makes the processes more easily understood and significantly improves the performance. Additionally, the number of solutions of the proposed method is substantially smaller than existing methods. Experiment results show that the proposed method can stably handle all 3D point configurations, including the ordinary 3D case, the quasi￾singular case, and the planar case, and it offers accuracy comparable or better than that of the state-of-art methods, but at much lower computational cost.

关键词Perspective-n-point problem (PnP) Absolute position and orientation Camera pose estimation Vision-based navigation Computer vision
收录类别SCI
语种英语
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/103247
专题个人在本单位外知识产出
通讯作者Guili Xu
作者单位1.College of Automation Engineering, Nanjing University of Aeronautics and Astronautics
2.College of Astronautics, Nanjing University of Aeronautics and Astronautics
推荐引用方式
GB/T 7714
Ping Wang,Guili Xu,Yuehua Cheng,et al. A simple, robust and fast method for the perspective-n-point Problem[J]. Pattern Recognition Letters,2018,108(Jun 1):31-37.
APA Ping Wang,Guili Xu,Yuehua Cheng,&Qida Yu.(2018).A simple, robust and fast method for the perspective-n-point Problem.Pattern Recognition Letters,108(Jun 1),31-37.
MLA Ping Wang,et al."A simple, robust and fast method for the perspective-n-point Problem".Pattern Recognition Letters 108.Jun 1(2018):31-37.
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