The present invention relates to the technical field of
point cloud data compression, and in particular to a method, device,
computer equipment, and medium for compressing dynamic
point cloud data. The method divides a target space into subspaces, counts the number of data containing
point cloud data in the subspaces, sorts them using the number of data as a spatial identifier, obtains a primary identifier sequence, determines a subspace that meets preset conditions as a target subspace, determines the sorting position of the target subspace, obtains a
secondary identifier sequence of the target subspace using the above steps, forms target description information based on the sorting positions and
secondary identifier sequences of all target subspaces, obtains a target probability distribution based on the target description information and reference description information, encodes the target probability distribution as a compression result, obtains a refined
spatial domain description through spatial averaging, and extracts the
time domain correlation of dynamic point
cloud data, thereby improving the compression efficiency and compression rate of dynamic point
cloud data, thereby reducing the storage pressure of point
cloud modeling in medical scenarios.