A self-similarity based robust watermarking scheme for 3D point cloud models

摘要：

This paper presents a self-similarity based robust spatial watermarking scheme for 3D point cloud models. In the scheme, 3D point cloud model is uniquely partitioned into patches using octree structure and PCA preprocessing. Then a shape descriptor and similarity measurement is designed to identify and cluster similar patches to similar patch chains and the codebooK is formed. By altering local vector length along the local vector direction of a certain points of each patch, the watermark bits are repeatedly embedded into the average local vector length of every similar patch. The watermark can be extracted based on four keys, the known model center, the principal object axis of the original model, the edge length of the bounding cube and the codebook. Experiments show that the proposed watermarking scheme performs well under common 3D watermarking attacks such as uniform affine transformations, simplification, resampling, cropping and additive noise.

关键词： Digital watermarking 3D point cloud models Blind Spatial Self-similarity patch chain

作者: QI Ke Xie Dong-qing

作者单位: School of Computer Science and Education Software, Guangzhou University, Guangzhou, China

会议类型: 国际会议

会议名称: 2011 International Conference on Security Science and Technology(ICSST 2011) (2011年安全科学与技术国际会议)

会议地点: 重庆

会议语种:英文

页码: 80-84

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）