Patent ID: 11875424
Assignee: SHENZHEN UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A point cloud data processing method, comprising:
acquiring point cloud data, and constructing a corresponding neighboring point set for each of data points in the point cloud data;
calculating Hausdorff distances between the neighboring point set and a pre-constructed kernel point cloud to obtain a distance matrix;
calculating a convolution of the neighboring point set with the distance matrix and a network weight matrix in a Hausdorff convolution layer in an encoder to obtain high-dimensional point cloud features; the encoder and a decoder being two parts in a deep learning network; and
reducing feature dimension of the high-dimensional point cloud features through the decoder, so that a classifier performs semantic classification on the point cloud data according to object point cloud features obtained by the dimension reduction.