This paper presents a reversible data hiding method which is affine transformation invariant for 3D mesh models. The histogram shift scheme is applied to data embedding by modifying the normalized distances between the model center and vertices. When the 3D model is rotated, uniform scaled, or translated, the embedded data can be correctly extracted and the original 3D model can be reconstructed. For blind extraction of hidden data, there is only a small extra payload that should be recorded. Although the 3D model is slight changed by modifying vertex coordinates, it cannot be detected by human eyes. The experimental results show that the proposed method is robust against the rotation, uniform scaling, and translation attacks.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.