系统仿真学报 ›› 2016, Vol. 28 ›› Issue (10): 2455-2459.

• 仿真建模理论与方法 • 上一篇    下一篇

基于随机可逆矩阵的3D点云模型加密

吴肇星, 金鑫, 宋承根, 张春伟, 李晓东   

  1. 北京电子科技学院,北京 100070
  • 收稿日期:2016-05-30 修回日期:2016-07-11 出版日期:2016-10-08 发布日期:2020-08-13
  • 作者简介:吴肇星(1995-),男,山东淄博,本科生,研究方向为可视媒体加密。
  • 基金资助:
    国家自然科学基金(61170037, 61402021); 中央高校基本科研业务费(2015XSYJ25); 国家档案局科技计划(2015-B-10); 虚拟现实技术与系统国家重点实验室开放课题(BUAA-VR-16KF-09)

Random Reversible Matrix based Point Cloud Encryption

Wu Zhaoxing, Jin Xin, Song Chenggen, Zhang Chunwei, Li Xiaodong   

  1. Beijing Electronic Science and Technology Institute, Beijing 100070, China
  • Received:2016-05-30 Revised:2016-07-11 Online:2016-10-08 Published:2020-08-13

摘要: 针对3D模型中存在的隐私保护问题,提出一种基于混沌映射的3D点云模型加密方案。利用混沌映射生成一个3×3随机可逆矩阵和一个3×1平移向量,利用以上的随机可逆矩阵和平移向量可以将点云中的每一个点变换到一个齐次坐标。用以上加密方案对不同的3D点云模型进行大量测试的结果显示,每个点云模型都能正确地加解密。通过运用视点特征直方图对加密的结果进行评估,结果表明:该方案能够生成难以辨认的密文3D点云。

关键词: 3D点云, 加密, 混沌映射, 点特征直方图, 视点特征直方图

Abstract: Paying less attention to the privacy protection in the 3D model, an encryption scheme based on chaotic map of 3D point cloud model was proposed, which realized the encryption of 3D point cloud, that used chaotic maps to generate a 3×3 random reversible matrix and a 3×1 translation vector, used the above random reversible matrix and the translation vector can transform each point of the point cloud to a homogeneous coordinate. After a lot of tests on different 3D point cloud models were carried out, the test results show that each point cloud model can be correctly encrypted and encrypted. In addition, the results of encryption was evaluated by the view feature histogram (VFH). Evaluation results show talmost no recognition of the encrypted 3D point cloud.

Key words: 3D point clouds, encryption, chaotic mapping, point feature histogram, view feature histogram

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