Open Access

ARTICLE

Multi-Directional Reconstruction Algorithm for Panoramic Camera

Shi Qiu¹, Bin Li^{2, *}, Keyang Cheng³, Xiao Zhang², Guifang Duan⁴, Feng Li⁵

1 Key Laboratory of Spectral Imaging Technology CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, 710119, China.
2 School of Information Science and Technology, Northwest University, Xi’an, 710127, China.
3 School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, 212013, China.
4 State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, 310058, China.
5 Institute of Education, University College London, London, UK.

* Corresponding Author: Bin Li. Email: .

Computers, Materials & Continua 2020, 65(1), 433-443. https://doi.org/10.32604/cmc.2020.09708

Received 16 January 2020; Accepted 19 May 2020; Issue published 23 July 2020

Abstract

of view. It can be applied in virtual reality, smart homes and other fields as well. A multi-directional reconstruction algorithm for panoramic camera is proposed in this paper according to the imaging principle of dome camera, as the distortion inevitably exists in the captured panorama. First, parameters of a panoramic image are calculated. Then, a weighting operator with location information is introduced to solve the problem of rough edges by taking full advantage of pixels. Six directions of the mapping model are built, which include up, down, left, right, front and back, according to the correspondence between cylinder and spherical coordinates. Finally, multi-directional image reconstruction can be realized. Various experiments are performed in panoramas (1024×1024) with 30 different shooting scenes. Results show that the azimuth image can be reconstructed quickly and accurately. The fuzzy edge can be alleviated effectively. The rate of pixel utilization can reach 84%, and it is 33% higher than the direct mapping algorithm. Large scale distortion is also further studied.

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Keywords

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