@Article{cmc.2020.09708,
AUTHOR = {Shi Qiu, Bin Li, Keyang Cheng, Xiao Zhang, Guifang Duan, Feng Li},
TITLE = {Multi-Directional Reconstruction Algorithm for Panoramic  Camera},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {1},
PAGES = {433--443},
URL = {http://www.techscience.com/cmc/v65n1/39575},
ISSN = {1546-2226},
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.},
DOI = {10.32604/cmc.2020.09708}
}