Theory and Practice of Projective Rectification
International Journal of Computer Vision
A compact algorithm for rectification of stereo pairs
Machine Vision and Applications
Stereo Matching Using Belief Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Automatic expert system for 3D terrain reconstruction based on stereo vision and histogram matching
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
In this paper, we propose an efficient stereo image rectification method using the horizontal baseline. Since the stereo camera is generally manually arranged, there are geometric errors due to the camera misalignment and the differences between the camera internal characteristics. Although the conventional calibration-based stereo image rectification method is simple, it has an opportunity to provide the results that have some visual distortion such as image skewness. Therefore, the proposed method calculates the baseline for stereo image rectification, which is parallel to the horizontal line in the real world. Using this baseline, we estimate the camera parameters and the rectification transform. By applying the transform to the original images, we obtain the rectified stereo images. Experimental results show that the results of the proposed method provide the better rectified stereo image without visual distortion.