The invention discloses a hierarchical object modeling and rapid
reconstruction method based on NeRF, and the method comprises the following steps: image preprocessing: initially obtaining an image video frame through a camera, carrying out the related
processing of an input image, including semantic segmentation, depth
estimation, normal
estimation and internal and external parameter calibration, and generating a corresponding semantic graph, a depth graph, a normal graph and camera parameters;
space partitioning: partitioning the scene according to the semantic graph information and defining a bounding box; adaptive sampling: performing adaptive sampling by combining the
depth map, the normal map and the camera parameters, and determining a sampling
point set; and performing hierarchical vectorization SDF reconstruction, performing hierarchical vectorization SDF reconstruction by using the sampling points to obtain hierarchical SDF representation describing the shape of the object, converting the hierarchical SDF into a triangular
mesh model, and completing three-dimensional object modeling and rapid reconstruction. The invention provides a hierarchical object modeling and rapid
reconstruction method based on NeRF, objects in a scene are rapidly reconstructed, and downstream editing tasks, interaction and other applications are supported.