Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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,  parameterize the homography by considering the influence of various kinds of geometric distortions. Next,  define several geometric measures and incorporate them into a new cost function as regularization terms for parameter optimization. Finally,  propose a constrained adaptive optimization scheme to allow a balanced performance beten 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.
['Hyunsuk Ko', 'Han Suk Shim', 'Ouk Choi', 'C.-C. Jay Kuo']
I am writing a research paper on a idea Robust Uncalibrated Stereo Rectification with Constrained Geometric Distortions (USR-CGD)
[{"from": "human", "value": "I am writing a research paper on a idea Robust Uncalibrated Stereo Rectification with Constrained Geometric Distortions (USR-CGD)"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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,  parameterize the homography by considering the influence of various kinds of geometric distortions. Next,  define several geometric measures and incorporate them into a new cost function as regularization terms for parameter optimization. Finally,  propose a constrained adaptive optimization scheme to allow a balanced performance beten 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."}]