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A method for optimizing the pose graph of a monocular camera in a drone

ActiveCN118674637Bsuppress noisesmall gradient changeImage enhancementImage analysisDifference of GaussiansRadiology
This invention relates to the field of UAV pose map optimization technology, and particularly to a method for optimizing the pose map of a UAV monocular camera. The method includes: blurring different image frame data, constructing a Gaussian pyramid, and downsampling; determining candidate feature points by subtracting Gaussian blurred images of adjacent scales; accurately determining the positions of candidate feature points on the image frame; removing low-contrast candidate feature points and edge response feature points to obtain the final feature points; and using the LM algorithm to adjust the UAV attitude parameters and optimize the pose map for discontinuous image frame data. The process of Gaussian difference point interest detection on continuously acquired image frame data suppresses noise in the image frames, effectively smoothing noise in the image. The resulting pose map is smoother with smaller gradient changes, improving the robustness of attitude estimation. The pose map optimization process expands the scope of pose map optimization, allowing optimization even for discontinuous images.
Owner:HEFEI UNIV OF TECH