  Reversible data hiding in encrypted domain(RDH-ED) can not only protect the
privacy of 3D mesh models and embed additional data, but also recover original
models and extract additional data losslessly. However, due to the insufficient
use of model topology, the existing methods have not achieved satisfactory
results in terms of embedding capacity. To further improve the capacity, a
RDH-ED method is proposed based on the topology of the 3D mesh models, which
divides the vertices into two parts: embedding set and prediction set. And
after integer mapping, the embedding ability of the embedding set is calculated
by the prediction set. It is then passed to the data hider for embedding
additional data. Finally, the additional data and the original models can be
extracted and recovered respectively by the receiver with the correct keys.
Experiments declare that compared with the existing methods, this method can
obtain the highest embedding capacity.
