Publication details for Dr Ioannis IvrissimtzisYang, Ying & Ivrissimtzis, Ioannis (2014). Mesh Discriminative Features for 3D Steganalysis. ACM Transactions on Multimedia Computing, Communications, and Applications 10(3): 27.
- Publication type: Journal Article
- ISSN/ISBN: 1551-6857 (print), 1551-6865 (online)
- DOI: 10.1145/2535555
- Further publication details on publisher web site
- Durham Research Online (DRO) - may include full text
Author(s) from Durham
We propose a steganalytic algorithm for triangle meshes, based on the supervised training of a classifier by discriminative feature vectors. After a normalization step, the triangle mesh is calibrated by one step of Laplacian smoothing and then a feature vector is computed, encoding geometric information corresponding to vertices, edges and faces. For a given steganographic or watermarking algorithm, we create a training set containing unmarked meshes and meshes marked by that algorithm, and train a classifier using Quadratic Discriminant Analysis. The performance of the proposed method was evaluated on six well-known watermarking/steganographic schemes with satisfactory accuracy rates.