The application provides a
video image fast clipping and dimension reduction method and
system based on a hierarchical bounding box, applied to the technical field of
image processing, wherein the method collects multi-view dynamic scene
point cloud data, and then divides the space by using a hierarchical bounding box to establish a bounding box structure with density characteristics; subsequently,
optical diffraction array pre-filtering is used, and point clouds are separated based on
wavelength selectivity and
density distribution to generate a first subset and a background subset; then, adaptive
pulse code modulation is used on nodes in the first subset to obtain high-precision data, and nodes in the second subset are compressed into low-code-rate data by using run-length encoding; subsequently, the two types of data are input into an improved k-d
tree based on the
spatial relationship of the bounding box to generate a two-dimensional
point set representing key features, and a spatial index is constructed to realize real-time scene retrieval. The application can realize image dimension reduction while retaining key geometric features of the image, thereby improving efficient real-time spatial retrieval in a dynamic scene.