Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A fundamental component of stereo vision is that of epipolar geometry. It tells us that the corresponding point of a pixel in one image is restricted to a line in another image. This constraint reduces both the complexity of finding stereo correspondences and also the chance of making incorrect matches. When a refractive surface is introduced, which is in underwater imaging, this constraint no longer holds. Instead, the corresponding point of a pixel in one image is now restricted to a curve, not a line.   investigate the impact of a planar refractive interface has on underwater imaging and stereo matching.  address the issue of 3D point projection in a refractive medium, including cases where the refractive interface is not parallel with the camera's imaging plane. A novel method for calibrating the parameters of a planar refractive interface in the local image space is proposed.  show how to compute the refractive epipolar curve for a pixel, which allows us to generate a matching cost volume that compensates for the effects of refraction. Our experimental results show that our new approach can significantly improve the results of underwater stereo matching over previous approaches.
['Jason Gedge', 'Minglun Gong', 'Yee-Hong Yang']
I am writing a research paper on a idea Refractive Epipolar Geometry for Underwater Stereo Matching
[{"from": "human", "value": "I am writing a research paper on a idea Refractive Epipolar Geometry for Underwater Stereo Matching"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A fundamental component of stereo vision is that of epipolar geometry. It tells us that the corresponding point of a pixel in one image is restricted to a line in another image. This constraint reduces both the complexity of finding stereo correspondences and also the chance of making incorrect matches. When a refractive surface is introduced, which is in underwater imaging, this constraint no longer holds. Instead, the corresponding point of a pixel in one image is now restricted to a curve, not a line.   investigate the impact of a planar refractive interface has on underwater imaging and stereo matching.  address the issue of 3D point projection in a refractive medium, including cases where the refractive interface is not parallel with the camera's imaging plane. A novel method for calibrating the parameters of a planar refractive interface in the local image space is proposed.  show how to compute the refractive epipolar curve for a pixel, which allows us to generate a matching cost volume that compensates for the effects of refraction. Our experimental results show that our new approach can significantly improve the results of underwater stereo matching over previous approaches."}]