Journal of System Simulation ›› 2016, Vol. 28 ›› Issue (10): 2455-2459.

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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

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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