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基于表面粗糙度的自适应三维模型盲水印算法

陈强 唐雁   

  1. 西南大学计算机与信息科学学院 西南大学计算机与信息科学学院
  • 收稿日期:2008-10-24 修回日期:2008-12-26 发布日期:2009-04-01 出版日期:2009-04-01
  • 通讯作者: 唐雁

Self-adaptive blind 3D model watermarking algorithm based on surface roughness

Qiang CHEN Yan TANG   

  • Received:2008-10-24 Revised:2008-12-26 Online:2009-04-01 Published:2009-04-01
  • Contact: Yan TANG

摘要: 针对已有的三维模型盲水印算法在相同鲁棒性约束条件下模型失真度较大的问题,提出一种基于表面粗糙度的自适应三维模型盲水印算法。引入视觉掩盖的思想,通过计算三维模型表面粗糙度以及各顶点相对位置选择待嵌入顶点,使得水印嵌入强度自适应于模型表面粗糙度。实验证明此算法在保持鲁棒性约束条件下能够有效降低模型的失真度。

关键词: 盲水印, 鲁棒性, 粗糙度, 视觉掩盖

Abstract: Aiming at the problem of big distortion caused by using the traditional blind 3D watermarking algorithm under the same restriction of robustness, a self-adaptive blind 3D model watermarking algorithm based on surface roughness was proposed. The idea of visual masking was introduced into the algorithm, and the vertex which was waiting for embedding was chosen by their surface roughness and location, which let the intensity of embedded watermarking self-adapted to the surface roughness of the model. The experimental results show that the proposed algorithm can reduce the distortion efficiently under the condition of keeping the restriction on robustness.

Key words: blind watermarking, robustness, roughness, visual masking

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