Three-dimensional (3-D) meshes are commonly used to represent virtual surfaces and volumes. Over the past decade, 3-D meshes have emerged in industrial, medical, and entertainment applications, being of large practical significance for 3-D mesh steganography and steganalysis. In this article, we provide a systematic survey of the literature on 3-D mesh steganography and steganalysis. Compared with an earlier survey [1], we propose a new taxonomy of steganographic algorithms with four categories: 1) two-state domain, 2) LSB domain, 3) permutation domain, and 4) transform domain. Regarding steganalysis algorithms, we divide them into two categories: 1) universal steganalysis and 2) specific steganalysis. For each category, the history of technical developments and the current technological level are introduced and discussed. Finally, we highlight some promising future research directions and challenges in improving the performance of 3-D mesh steganography and steganalysis.
翻译:三维(3-D)间衣物通常用于代表虚拟表面和体积。在过去的十年中,在工业、医疗和娱乐应用中出现了三维间衣物,对三维网目成像和分层分析具有重大的实际意义。在本篇文章中,我们提供了对三维网目成像和分层分析文献的系统调查。与早先的调查[1]相比,我们提议对四类血清算法进行新的分类:1)两个州域、2)LSB域、3)变异域和4)变异域。关于研究分析算法,我们将其分为两类:1)通用的Steg分析法和2)具体的斯特格分析,对每一类的技术发展历史和当前技术水平进行了介绍和讨论。最后,我们强调了在改进3D网目成像成像和分层分析的性能方面有希望的未来研究方向和挑战。