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arXiv · 1603.09462

Robust Uncalibrated Stereo Rectification with Constrained Geometric Distortions (USR-CGD)

Hyunsuk Ko·Han Suk Shim·Ouk Choi·C. -C. Jay Kuo
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Abstract

A novel algorithm for uncalibrated stereo image-pair rectification under the constraint of geometric distortion, called USR-CGD, is presented in this work. Although it is straightforward to define a rectifying transformation (or homography) given the epipolar geometry, many existing algorithms have unwanted geometric distortions as a side effect. To obtain rectified images with reduced geometric distortions while maintaining a small rectification error, we parameterize the homography by considering the influence of various kinds of geometric distortions. Next, we define several geometric measures and incorporate them into a new cost function for parameter optimization. Finally, we propose a constrained adaptive optimization scheme to allow a balanced performance between the rectification error and the geometric error. Extensive experimental results are provided to demonstrate the superb performance of the proposed USR-CGD method, which outperforms existing algorithms by a significant margin.

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Hyunsuk Ko, Han Suk Shim, Ouk Choi, C. -C. Jay Kuo. 2016-03-31. Robust Uncalibrated Stereo Rectification with Constrained Geometric Distortions (USR-CGD). https://doi.org/10.1016/j.imavis.2017.01.001

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