Yibin He1,2, Wenhao Xiong1, Hanxin Chen1,2,*, Yuchen Chen1, Qiaosen Dai1, Panpan Tu1, Gaorui Hu1
CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.1, pp. 379-396, 2021, DOI:10.32604/cmes.2021.010771
- 22 December 2020
Abstract The acquisition of images with a fish-eye lens can cause serious image distortion because of the short focal length
of the lens. As a result, it is difficult to use the obtained image information. To make use of the effective information
in the image, these distorted images must first be corrected into the perspective of projection images in accordance
with the human eye’s observation abilities. To solve this problem, this study presents an adaptive classification fitting
method for fish-eye image correction. The degree of distortion in the image is represented by the difference value
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