An Adaptive Steganography for 3D Triangle Models
In this paper, a new adaptive, highcapacity steganography for 3D triangle models using multi QIM is proposed. Even vertex of a 3D model can adaptively embed variable 3σ(σ≥1) bits using contour space subdivision with low distortion. We first use normal direction of vertexes to estimate the embedding capacity of even- vertex with respect to human visual system, then contour space subdivision is used to project the vertex to contour plane, finally at least three bits can be embedded by multi QIM in a vertex. The experiment results show that the proposed technique is adaptive, has high capacity and low distortion, and is robust against afflne transformations and vertex reordering attack.
3Dtrianglemodels Steganography adaptive embeeding normal direction of vertexes
QI Ke Xie Dong-qing
Computer Science and Education Software College Guangzhou University Guangzhou China
国际会议
海口
英文
211-214
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）