Reversible Data Hiding Algorithm for 3D Model Optimized for Vertex Strategies
With the popular development of 3D printing technology and cloud computing,data security and privacy of 3D mesh models are increasingly important,and it is important to study the methods of model lossless recovery and storage of massive data hiding.Based on this,we propose a reversible data hiding method with vertex strategies optimization using 3D mesh model as the carrier.Firstly,we divide the vertices of the grid model,generate a new set of centers of gravity in the full neighborhood,and predict the MSB of all the vertex sets according to an improved prediction strategy to determine the maximum embedding position.Then,apply the Laplace operator at the vertices to obtain a smooth recovery model at the receiver side.Finally,visualize and analyze the mean curvature.To prove the ef-fectiveness of the proposed algorithm,the embedding rate,SNR and recovery model of different sizes of lattice models are compared with those of other traditional algorithms.The results show that the proposed algorithm not only improves the embedding rate,but also effectively removes the noise while preserving the local detail features of the recovered model,which improves the quality and visual effect of the recovered model and further achieves the purpose of data privacy and security.
reversible data hiding3d modelvertex strategiesLaplace operatormean curvaturedenoising smooth
国家科技期刊平台
NSTL
万方数据
维普
