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Current stereo calibration and rectification methods suffer from complex calculations or a lack of accuracy.
This paper establishes a simple and effective equivalency between an omnidirectional stereo vision system and a perspective vision system by studying stereo calibration and rectification methods.
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Second, we propose a simple rectification method.
Second, we propose a new rectification method.
For this problem, the "rectification" method is developed.
In order to verify the rectification method, a rectification experiment is carried out.
This finding indicates that our rectification method provides a higher pixel-alignment accuracy.
The proposed rectification method can reduce effort while ensuring a real-time calculation.
The 3D calculation results demonstrate the precision of our stereo calibration and rectification method.
Comparing the details before rectification with those after rectification, we can conclude that our rectification method is effective.
b On the left are obtained after cylindrical expansion using intrinsic parameters and our rectification method, and on the right (b) are details of the left (b) with our rectification method.
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