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机构地区:[1]天津理工大学天津市智能计算及软件新技术重点实验,天津300384 [2]天津理工大学计算机视觉与系统教育部重点实验室,天津300384
出 处:《计算机科学》2014年第1期300-302,F0003,共4页Computer Science
基 金:国家863计划重点项目(2010AA122201);国家自然基金项目(60872064,61102125);天津市自然科学基金(12JCYBJC10200)资助
摘 要:针对三维模型在嵌入水印后形变量较大、会有局部失真的问题,提出了基于遗传算法的小波域上的三维数字水印嵌入与提取算法。首先寻找三维模型的特征点,然后根据使嵌入水印后的模型特征点的显著区域变化最小的原则构造适应度函数,以此通过遗传算法寻找最佳嵌入点,最后在小波域上对三维模型进行水印嵌入。实验结果表明,该算法具有较强的鲁棒性,并且使三维模型在嵌入水印后具有较小的形变量。In this paper,a new 3D watermarking algorithm,which resolves problem of serious local distortion or heavy alteration of the model caused by embedding watermarking into the 3D models, was proposed based on Genetic algo- rithms in wavelet domain. Firsdy, the feature points of the 3D model are extracted. Then, the best embedded coefficients are found via GA in which the fitness function is defined as the minimal change of the significant region after the 3D wa- termarking embedding. Finally, the final watermarked 3D content is obtained through the inverse discrete wavelet trans- form of the modified coefficients. The numerous experimental results show that the proposed 3D watermarking algo- rithm is robust against various attacks and makes the 3D polygonal models to have less distortion.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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