Work

An Efficient Method of Solving the P n P Problem for Fisheye Cameras

Year: 2026

Type: article

Abstract: Fisheye cameras, with their wide field of view, are highly beneficial for applications such as unmanned systems. Solving the perspective- n -point (P n P) problem that estimates the pose of a camera is particularly important for fisheye cameras. However, most existing P n P methods are primarily developed for pinhole cameras, with limited research focusing on fisheye cameras. This study presents an efficient method for solving the P n P problem for fisheye cameras. The proposed method introduces a mapping from a fisheye camera image to a virtual image plane based on the geometric properties of the fisheye camera. Two-dimensional reference points on the virtual plane are then employed to solve the P n P problem. Error analysis validates the effectiveness of the mapping through numerical computation. The experimental results further demonstrate that the proposed method achieves better accuracy and efficiency than the existing methods.

Source: Journal of Advanced Computational Intelligence and Intelligent Informatics

DOI: 10.20965/jaciii.2026.p0184

Authors: Chenxiao Wang, Biao Wang, Yulong Ding, Dunhui Xiao, Ben M. Chen

Institutions: Tongji University, Nanjing University of Aeronautics and Astronautics, Shanghai Artificial Intelligence Laboratory, Chinese University of Hong Kong

Language: English

Topic: Advanced Vision and Imaging

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: National Natural Science Foundation of China