.png){kind=icon}
返回
An efficient 3D information hiding algorithm based on sampling concepts
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-015-2707-1.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This study proposes an efficient 3D information hiding algorithm based on sampling concepts. The total embedding capacity depends on the number of feature points obtained from an auxiliary polygonal model, instead of model complexity. We use sampling concepts to derive the feature points directly on each polygon of the auxiliary polygonal model. A stego model can be efficiently generated by slightly adjusting the position of each feature point with the help of the secret message and the embedding parameter. This approach has four characteristics. First, it preserves the features of high embedding capacity and flexibility. Second, this approach resolves the shortcomings of the holed effects and the dummy points in previous algorithm. Third, this approach is efficient with the time complexity O(n), where n is the number of feature points. Finally, the proposed algorithm supports point geometries as auxiliary models by adopting a surface reconstruction scheme. The above characteristics demonstrate the feasibility of the proposed algorithm.
Keyword:
Sampling concepts
Information hiding
Surface reconstruction
3D models
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3
论文数:
2.0W
被引数:
3.2W
机构
引用论文
Diseño de una web 2.0 para cuidadoras de personas con problemas crónicos de salud为慢性病患者护理者设计的Web 2.0设计
OAAI
.png){kind=icon}
OAAI分享收藏
Effect of local macrophage depletion on cellular immunity and tolerance evoked by corneal allografts
PREAI
分享收藏分享收藏
查看更多内容