摘要
针对基于载体的秘密通信的需求,提出利用模型点Mean Shift聚类分析的三维模型载体信息隐藏算法。该算法将局部高度引入到模型点显著性衡量中,用以描述顶点的能量和结构特性,并用Mean Shift聚类分析法将各个顶点按照局部高度值分为能量特性不同的3类。以3类顶点为载体,采用隐藏信息与载体能量特性匹配的方式,通过修改3类顶点的结构特性指标,实现不同信息的嵌入。实验结果显示,该算法各项性能均衡,尤其具有较好的抗分析性和感知篡改性,且嵌入容量较大。
To satisfy the requirement of confidential communication,an information hiding scheme based on Mean Shift clustering analysis was proposed for 3D models. Local height is introduced into this scheme to measure the significance, which can be considered as one of the energy characteristics of vertex. Based on this, Mean Shift is used to analyze the vertex into three categories with different energy characteristics. Different information can be hidden into different kinds of vertex by modifying structure characteristic parameters. And the energy characteristics of information and its carrier should be matched as much as possible. Experimental results show that this scheme is of good performance. Especially the anti-analysis ability and the sensitivity to tamper are much better than others and the capacity is also improved greatly.
作者
任帅
赵祥模
张弢
石方夏
慕德俊
REN Shuai ZHAO Xiang-mo ZHANG Tao SHI Fang-xia MU De-jun(School of Information Engineering,Chang＇an University,Xi＇an 710064,China School of Electronic and Control Engineering, Chang ＇ an University, Xi ＇ an 710064, China School of Information Engineering,Xizang Minzu University,Xianyang 712082,China 3 College of Automation, Northwestern Polytechnieal University, Xi＇ an 710072, Chin)
出处
《计算机科学》
CSCD
北大核心
2017年第3期187-191,共5页
Computer Science
基金
国家自然科学基金资助项目(61402052
61303041)
陕西省自然科学基础研究计划项目(2014JM2-6105)
中国博士后科学基金资助项目(2015M572510)
陕西省博士后科学基金资助项目
西藏自治区自然科学基金项目(2015ZR-14-20)
长安大学中央高校基本科研业务费专项资金资助(310832151092)
国家级大学生创新创业训练计划项目(201510710044)资助
