计算机科学 ›› 2020, Vol. 47 ›› Issue (7): 328-334.doi: 10.11896/jsjkx.190800021

• 信息安全 • 上一篇    

一种零高分辨率3D网格模型的信息隐藏算法

任帅1, 王萌1, 范傲雄1, 高泽1, 徐解1, Shahzad KHURRAM1, 张弢2   

  1. 1 长安大学信息工程学院 西安710064
    2 长安大学电子与控制工程学院 西安710064
  • 收稿日期:2019-08-04 出版日期:2020-07-15 发布日期:2020-07-16
  • 通讯作者: 王萌(1162954135@qq.com)
  • 作者简介:shuairen@chd.edu.cn
  • 基金资助:
    国家自然科学基金(61702050);中央高校“双一流”引导专项(300104292405);2019年研究生教育教学改革建设专项基础建设项目(300103190640);大学生创新创业训练计划项目(201910710079,201810710052,201810710060,201810710215,201810710224)

Zero-high-resolution Information Hiding Algorithm for 3D Mesh Model

REN Shuai1, WANG Meng1, FAN Ao-xiong1, GAO Ze1, XU Jie1, Shahzad KHURRAM1, ZHANG Tao2   

  1. 1 School of Information Engineering,Chang’an University,Xi’an 710064,China
    2 School of Electronic and Control Engineering,Chang’an University,Xi’an 710064,China
  • Received:2019-08-04 Online:2020-07-15 Published:2020-07-16
  • About author:REN Shuai,born in 1982,Ph.D,associate professor,is a member of China Computer Federation.His main research interests include information hiding,information security risk assessment,information hiding theory and model.
    WANG Meng,born in 1996,master,is a member of China Computer Federation.Her main research interests include information hiding technology and so on.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61702050),“Double Top-Class” Guidance Project for the Central Universities (300104292405),Special Infrastructure Project for the Reform and Construction of Postgraduate Education in 2019 (300103190640) and Innovation and Entrepreneurship Training Program for College Students (201910710079,201810710052,201810710060,201810710215,201810710224)

摘要: 针对目前3D网格模型信息隐藏算法抗分析性弱的问题,提出一种零高分辨率的信息隐藏算法。首先,利用改进半边折叠网格简化算法对网格模型进行多分辨率分析,将3个分辨率层表示为High-layer,Mid-layer,Low-layer;其次,在High-layer进行同心球面分割,提取特征向量,在Mid-layer计算顶点突出度,确定嵌入信息的特征点;再次,通过将特征向量中特征值的最高位与Chebyshev置乱的加密信息建立联系以形成关联信息;最后,利用分段映射函数将关联信息嵌入到特征点球面坐标r值的DCT变换交流系数中。算法将高分辨率层的特征向量与置乱信息所构建的关联信息隐藏于能量小于15%中分辨率层的鲁棒特征点的仿射变换不变量中,有利于算法的不可见性、鲁棒性和抗分析性。采用一阶拉普拉斯平滑的隐写分析方法检测不到点、面特征的明显变化,表明所提算法的抗分析性好。

关键词: DCT变换, 半边折叠网格简化, 抗分析性, 零高分辨率信息隐藏, 同心球面分割

Abstract: Aiming at weak anti-analysis of current information hiding algorithm for 3D mesh model,a zero-high-resolution information hiding algorithm was proposed.Firstly,multi-resolution analysis based on the improved half-fold mesh simplification algorithm is manipulated on mesh model to decompose it into High-layer,Mid-layer,Low-layer.Secondly,the feature vectors are extracted by concentric sphere segmentation in High-layer,and the feature points embedded in information are determined by calculating vertex saliency in Mid-layer.Thirdly,the highest bit of the eigenvalue is obtained circularly from the feature vector and then correlatedwith the encrypted information scrambled by Chebyshev to form the associated information.Finally,the associated information is embedded into the DCT transform AC coefficient of the feature point spherical coordinate r value using the piecewise mapping function.The algorithm hides the associated information constructed by feature vector of High-layer and scrambled information intothe affine transform invariant of robust feature points in Mid-layer with less than 15% energy,which is beneficial to the invisibility,robustness and anti-analysis of algorithm.The obvious changes of point and surface features are undetected by the first-order Laplacian smoothing steganalysis method,which means that the proposed algorithm is of good anti-analysis ability.

Key words: Anti-analysis ability, Concentric spherical segmentation, DCT transform, Half-folded mesh simplification, Zero-high-resolution information hiding

中图分类号: 

  • TP309.2
[1]HABBOULI O,MEGHERBI D B.A secure,self-recovery,and high capacity blind digital image information hiding and authentication scheme using DCT moments[C]//2017 IEEE International Symposium on Technologies for Homeland Security (HST).IEEE,2017:1-5.
[2]YE J Q,EDWARD S,CLIVE R.Use of a 3D model to improve the performance of laser-based railway track inspection[J].Proceedings of the Institution of Mechanical Engineers,2019,233(3):337-355.
[3]JIAO R,WANG Y M.Partial Steganography Algorithm of Triangular Mesh Model Introduced by Mason Rotation Algorithm[J].Electronic Measurement Technology,2017,40(12):228-232.
[4]LIU Y Q.Three-dimensional data encryption and information hiding based on integrated imaging [D].Xi’an:Xidian University,2016.
[5]REN S,HE Y,LIU Y N,et al.A zero-low frequency informationhiding algorithm based on scale-invariant local features [J/OL].[2018-12-24].http://kns.cnki.net/kcms/detail/51.1196.TP.20180811.1337.090.html.
[6]GENG K,ZHANG D F,XIE D Q.3D Model Information Hiding Based on Framed Sampling and Wavelet HMM[J].Journal of Computer-Aided Design & Computer Graphics,2010,22(8):1406-1411.
[7]REN S,SHI F X,ZHANG T.Information hiding algorithmbased on 3D model contour analysis[J].Journal of Computer Applications,2016,36(3):642-646.
[8]REN S,ZHANG T,XU Z C,et al.Three-dimensional model information hiding algorithm for feature point labeling and clustering[J].Journal of Computer Applications,2018,38(4):1017-1022.
[9]REN S,ZHANG T,YANG T,et al.Information hiding algorithm based on spherical segmentation of 3D model[J].Journal of Computer Applications,2017,37(9):2576-2580.
[10]ENZBERG S V,AL-HAMADI A.A Multiresolution Approach to Model-Based 3-D Surface Quality Inspection[J].IEEE Transactions on Industrial Informatics,2017,12(4):1498-1507.
[11]SUN J,DING Y,HUANG Z,et al.Laplacian Deformation Algorithm Based on Mesh Model Simplification[C]//2018 IEEE 3rd International Conference on Image,Vision and Computing (ICIVC).IEEE,2018:209-213.
[12]YANG H,ZHOU F,LIN G,et al.Animated mesh simplification based on motion features in visual sensor networks[J].International Journal of Distributed Sensor Networks,2019,15(1):1-13.
[13]ZHANG Y,WANG J D,ZHAO R B,et al.Segmentation andReconstruction Algorithm of Triangular Mesh Model Based on Half-Edge Folding[J].Journal of Yichun University,2014,36(6):12-16,31.
[14]HOPPE H,DEROSE T,DUCHAMP T,et al.Mesh optimization[C]//Conference on Computer Graphics & Interactive Techniques.1993.
[15]REN G F.Three-dimensional mesh blind watermarking algo-rithm for feature point regions [D].Jinan:Shandong University,2009.
[16]HAN B,LI J.Medical Image Watermarking in Sub-block Three-dimensional Discrete Cosine Transform Domain[J].International Journal Bioautomation,2016,20(1):69-78.
[17]BETTA G,CAPRIGLIONE D,CORVINO M,et al.Sensitivity analysis of influence quantities on signal-to-noise ratio in face-based recognition systems[C]//Proc of IEEE International Instrumentation & Measurement Technology Conference.IEEE,2017.
[18]CARLSON N A,PORTER J R.On the cardinality of Hausdorffspaces and H-closed spaces[J].Topology & Its Applications,2017,160(1):137-142.
[19]LIU J,YANG Y,MA D,et al.A Watermarking Method for 3D Models Based on Feature Vertex Localization[J].IEEE Access,2018,6:56122-56134.
[20]YANG Y,IVRISSIMTZIS I.Mesh Discriminative Features for 3D Steganalysis[J].Proc of ACM Transactions on Multimedia Computing,Communications,and Applications,2014,10(3):1-13.
[1] 刘春阳,吴泽民,胡磊,刘熹.
基于DCT变换的多通道特征的行人检测
Pedestrian Detection Based on DCT of Multi-channel Feature
计算机科学, 2017, 44(Z11): 221-224. https://doi.org/10.11896/j.issn.1002-137X.2017.11A.046
[2] 陈光喜 成彦.
基于HVS的自适应鲁棒视频水印算法

计算机科学, 2008, 35(11): 214-216.
[3] 周一鸣 张超 张曾科.
基于局部方差和DCT变换的混合分形图像编码算法

计算机科学, 2007, 34(10): 241-243.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!