A Multi-carrier Information Hiding Algorithm Based on Layered Compression of 3D Point Cloud Model

Aiming at the problem that most of the information embedding carriers of existing information hiding technologies are two-dimensional images, and most of them are single carriers with limited embedding information capacity, a multi-carrier information hiding algorithm based on hierarchical compression of 3D point cloud model is proposed. Firstly, the 3D model is pre-standardized, the minimum bounding box of the model is generated, and the slice of the model is stratified. Secondly, the ratio of projected area between each layer region and the minimum bounding box is used as the weight of each layer region and the model feature vector, and the carrier set is classified by calculating the similarity of each model feature vector. Finally, each layer area is compressed according to the secret information to complete the secret information hiding. The experimental results show that, compared with the comparison algorithm, the proposed algorithm is robust while maintaining invisibility in the face of a single attack.