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

Claim 6:
7. The point cloud data processing method according to claim 1, wherein:
the Hausdorff convolution layer in the encoder comprises multi-kernel Hausdorff convolution sublayers;
different multi-kernel Hausdorff convolution sublayers correspond to different distance matrixes; and
the calculating the convolution of the neighboring point set with the distance matrix and the network weight matrix in the Hausdorff convolution layer in the encoder to obtain the high-dimensional point cloud features comprises:
in each of the multi-kernel Hausdorff convolution sublayers, convolving the neighboring point set with the network weight matrix and the distance matrix corresponding to each of the multi-kernel Hausdorff convolution sublayers to obtain point cloud features of each of the multi-kernel Hausdorff convolution sublayers; and
merging the point cloud features of each of the multi-kernel Hausdorff convolution sublayers to obtain the high-dimensional point cloud features.