Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Camera calibration is central to obtaining a quantitative image-to-physical-space mapping from stereo images acquired in the operating room (OR). A practical challenge for cameras mounted to the operating microscope is maintenance of image calibration as the surgeon’s field-of-view is repeatedly changed (in terms of zoom and focal settings) throughout a procedure. Here,  present an efficient method for sustaining a quantitative image-to-physical space relationship for arbitrary image acquisition settings (S) without the need for camera re-calibration. Essentially,  warp images acquired at S into the equivalent data acquired at a reference setting, S0, using deformation fields obtained with optical flow by successively imaging a simple phantom. Closed-form expressions for the distortions re derived from which 3D surface reconstruction was performed based on the single calibration at S0. The accuracy of the reconstructed surface was 1.05 mm and 0.59 mm along and perpendicular to the optical axis of the operating microscope on average, respectively, for six phantom image pairs, and was 1.26 mm and 0.71 mm for images acquired with a total of 47 arbitrary settings during three clinical cases. The technique is presented in the context of stereovision; hover, it may also be applicable to other types of video image acquisitions (e.g., endoscope) because it does not rely on any a priori knowledge about the camera system itself, suggesting the method is likely of considerable significance.
['Songbai Ji', 'Xiaoyao Fan', 'David W. Roberts', 'Keith D. Paulsen']
I am writing a research paper on a idea Efficient Stereo Image Geometrical Reconstruction at Arbitrary Camera Settings from a Single Calibration
[{"from": "human", "value": "I am writing a research paper on a idea Efficient Stereo Image Geometrical Reconstruction at Arbitrary Camera Settings from a Single Calibration"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Camera calibration is central to obtaining a quantitative image-to-physical-space mapping from stereo images acquired in the operating room (OR). A practical challenge for cameras mounted to the operating microscope is maintenance of image calibration as the surgeon\u2019s field-of-view is repeatedly changed (in terms of zoom and focal settings) throughout a procedure. Here,  present an efficient method for sustaining a quantitative image-to-physical space relationship for arbitrary image acquisition settings (S) without the need for camera re-calibration. Essentially,  warp images acquired at S into the equivalent data acquired at a reference setting, S0, using deformation fields obtained with optical flow by successively imaging a simple phantom. Closed-form expressions for the distortions re derived from which 3D surface reconstruction was performed based on the single calibration at S0. The accuracy of the reconstructed surface was 1.05 mm and 0.59 mm along and perpendicular to the optical axis of the operating microscope on average, respectively, for six phantom image pairs, and was 1.26 mm and 0.71 mm for images acquired with a total of 47 arbitrary settings during three clinical cases. The technique is presented in the context of stereovision; hover, it may also be applicable to other types of video image acquisitions (e.g., endoscope) because it does not rely on any a priori knowledge about the camera system itself, suggesting the method is likely of considerable significance."}]