A general recursive linear method and unique solution pattern design for the perspective-n-point problem
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 740-750 |
Journal / Publication | Image and Vision Computing |
Volume | 26 |
Issue number | 6 |
Publication status | Published - 2 Jun 2008 |
Link(s)
Abstract
In this paper, a new method for solving the perspective-n-point (PnP) problem is developed. With an auxiliary point, the linear method for the special case of four coplanar points is extended to find the coarse solutions for the general P3P problem. A recursive least square algorithm with a forgetting factor is introduced to find all the accurate solutions for the P3P problem. Then the algorithm is extended to the general PnP problem. The solution stability issues are investigated for the P3P, P4P and P5P problem, respectively. Furthermore, a pattern is designed to ensure unique solution for the PnP problem. Experiments are performed to verify the effectiveness of the proposed method. © 2007 Elsevier B.V. All rights reserved.
Research Area(s)
- Pattern design, Perspective-n-point problem, Pose estimation, Recursive least square, Solution distribution, Solution stability, Three-dimensional sensing, Visual positioning
Citation Format(s)
A general recursive linear method and unique solution pattern design for the perspective-n-point problem. / Xu, De; Li, You Fu; Tan, Min.
In: Image and Vision Computing, Vol. 26, No. 6, 02.06.2008, p. 740-750.
In: Image and Vision Computing, Vol. 26, No. 6, 02.06.2008, p. 740-750.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review