The invention belongs to the field of space target imaging, and discloses a space target three-dimensional
reconstruction method for inhibiting
dark color interference through combination of brightness and transparency, which is used for solving the problems of poor
imaging quality and inaccurate
pose estimation of a space target. According to the method, multiple requirements of improving the quality of an input image, adjusting a
pose and training a three-dimensional model are jointly completed, and low-quality imaging of an incomplete imaging
system is preprocessed based on lucky imaging; and then, dense feature points are extracted by using a pre-training network based on no
detector,
estimation of a three-dimensional
initial point cloud and an initial
pose of a camera is carried out, and pose joint adjustment is carried out by combining RANSAC and Bundle AdJustlement. During training, an MLP-based optimizer is used for calculating the deviation of pose adjustment, meanwhile, training of parameters of three-dimensional
Gaussian primitives is carried out, and after various physical constraints are added, a one-stop
assembly line can be implemented. According to the method, the good basic shape and the sharp edge of the model are kept, the good anti-
noise capability is achieved, and meanwhile the real-time performance and the robustness are achieved.