@Article{JICS-5-109,
author = {Liansheng Sui, Xiaomei Yang, Jiulong Zhang},
title = {Image Rectification Algorithm Based on Immune Monoclonal Strategy},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {5},
number = {2},
pages = {109--116},
abstract = { To  rapidly  and  accurately  search  the  corresponding  points  along  scan-lines,  rectification  of 
stereo image pairs are performed so that all the epipolar lines are parallel to the horizontal scan-lines and the 
vertical  difference  between  the  corresponding  epipolar  lines  is  zero.  According  to  the  layered  rectification 
algorithm  presented  by  charles  loop,  we  can  divide  the  process  of  rectification  into  three  steps  including 
projective transformation, affine transformation and shearing transformation. The key to proposed algorithm 
is the computation of projective matrix, the algorithm uses the affine epipolar geometry constraint to compute 
projective matrix and determines the optimal value of unknown parameters in projective matrix by immune 
monoclonal strategy. In the process of solving the matrix, the algorithm does not require the relative matrix 
be  positive  definite.  The  experiments  show  that  the  proposed  algorithm  is  an  effective  image  rectification 
algorithm and it has the obvious advantage in mean vertical difference, distortion and speed of rectification. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22718.html}
}