基于几何特征的3D模型隐写检测技术

3D model steganalysis based on geometry characteristics

针对3D模型自身独特结构,筛选和提取其几何特征,拟合验证其分布模型,而后利用优化后的分类算法对三维模型有无隐秘信息隐写盲检测,即针对空间域3D数据模型三角形网格几何特征隐写的信息隐藏检测分析。选取经典的空域隐写算法来构建数据库和训练分类器是实验前提。该算法不仅在低嵌入率、较小隐写容量条件下实现了有无隐写的正确检测,而且形成了一套较完善的3D数据模型隐写分析实验流程框架。

This paper gained an efficient blind algorithm by selecting eharacteristics, building and fitting statistics distribu- tion, improving and optimizing classification algorithm, that was triangular mesh geometric features steganographic algorithm. It used classic steganography algorithm to build database and train classifier. This method not only achieves classification cozxeet- ly （ lower embedding rate, lower capacity） ,but also formes a theoretical framework of steganalysis based on 3D model.