# EPnP **Repository Path**: giteeuser0503/EPnP ## Basic Information - **Project Name**: EPnP - **Description**: EPnP: Efficient Perspective-n-Point Camera Pose Estimation - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 2 - **Created**: 2022-01-11 - **Last Updated**: 2022-01-11 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # EPnP: An Accurate O(n) Solution to the PnP Problem We propose a non-iterative solution to the PnP problem-the estimation of the pose of a calibrated camera from n 3D-to-2D point correspondences-whose computational complexity grows linearly with *n*. This is in contrast to state-of-the-art methods that are *O(n^5)* or even *O(n^8)*, without being more accurate. Our method is applicable for all *n >= 4* and handles properly both planar and non-planar configurations. Our central idea is to express the *n* 3D points as a weighted sum of four virtual control points. The problem then reduces to estimating the coordinates of these control points in the camera referential, which can be done in *O(n)* time by expressing these coordinates as weighted sum of the eigenvectors of a *12 x 12* matrix and solving a small *constant* number of quadratic equations to pick the right weights. Furthermore, if maximal precision is required, the output of the closed-form solution can be used to initialize a Gauss-Newton scheme, which improves accuracy with negligible amount of additional time. The advantages of our method are demonstrated by thorough testing on both synthetic and real-data. **EPnP: An Accurate O(n) Solution to the PnP Problem** Vincent Lepetit; Francesc Moreno-Noguer; Pascal Fua *International Journal Of Computer Vision. 2009* [[abstract]](https://infoscience.epfl.ch/record/160138?ln=en) - [[PDF]](https://infoscience.epfl.ch/record/160138/files/top.pdf) - [[bibtex]](https://infoscience.epfl.ch/record/160138/export/btex) **Accurate non-iterative O(n) solution to the PnP problem** Francesc Moreno-Noguer; Vincent Lepetit; Pascal Fua *ICCV 2007* [[abstract]](https://infoscience.epfl.ch/record/179767?ln=en) - [[PDF]](https://infoscience.epfl.ch/record/179767/files/top.pdf) - [[bibtex]](https://infoscience.epfl.ch/record/179767/export/btex)