An Algorithm Based on Skeleton Extraction and Inscribed Sphere Analysis for 3D Model Information Hiding
Tao Zhang, Dejun Mu, Shuai Ren · International Journal of Advancements in Computing Technology · 2012
Abstract Invisibility, robustness and blindness are three difficult points for 3D model information hiding. In this paper, a new robust and blind information hiding algorithm for 3D models is proposed. Skeleton of 3D models is extracted, and skeleton points are obtained inside the objects at the same time. Taking skeleton points as centers, EMIS are obtained according to Euclidean Maximum Inscribed Sphere (EMIS) in skeleton definition to ensure invisibility and robustness. Setting threshold, get Minimum Inscribed Sphere (MIS) based on EMIS. Keep the radius of MIS be no less than the threshold. Take the parity of MIS earned times as the modification space for information hiding. The Rate of Barycenter and Cross-point (RBC) is used as an auxiliary method to improve robustness and blindness. Experiments prove that this algorithm is of good feasibility, invisibility and robustness against common attacks.