Mesh Discriminative Features for 3D Steganalysis

Yang, Ying; Ivrissimtzis, Ioannis

doi:10.1145/2535555

All Outputs (4)

A steganalytic algorithm for 3D polygonal meshes (2014)
Conference Proceeding
Yang, Y., Pintus, R., Rushmeier, H., & Ivrissimtzis, I. (2014). A steganalytic algorithm for 3D polygonal meshes. In ICIP 2014 : 2014 IEEE International Conference on Image Processing (ICIP) (4782-4786). https://doi.org/10.1109/icip.2014.7025969

We propose a steganalytic algorithm for watermarks embedded by Cho et al.'s mean-based algorithm [1]. The main observation is that while in a clean model the means of Cho et al.'s normalized histogram bins are expected to follow a Gaussian distributi... Read More about A steganalytic algorithm for 3D polygonal meshes.

An evaluation of reconstruction filters for a path-searching task in 3D (2014)
Conference Proceeding
Roberts, D., Ivrissimtzis, I., & Holliman, N. (2014). An evaluation of reconstruction filters for a path-searching task in 3D. In 2014 Sixth International Workshop on Quality of Multimedia Experience (QoMEX 2014) : Singapore, 18-20 September 2014 (165-170). https://doi.org/10.1109/qomex.2014.6982314

The choice of reconstruction filter used to interpolate between sample points when generating images from volumetric data sets can have an impact on image quality. There are a range of reconstruction filters as well as methods to determine the qualit... Read More about An evaluation of reconstruction filters for a path-searching task in 3D.

A Geometric Approach for the Computation of Principal Directions in Point Sets (2014)
Conference Proceeding
Ivrissimtzis, I. (2014). A Geometric Approach for the Computation of Principal Directions in Point Sets. In R. Borgo, & W. Tang (Eds.), Computer Graphics & Visual Computing (CGVC) 2014 : University of Leeds, Leeds, United Kingdom 10 – 11 September 2014 ; proceedings. https://doi.org/10.2312/cgvc.20141210

Mesh Discriminative Features for 3D Steganalysis (2014)
Journal Article
Yang, Y., & Ivrissimtzis, I. (2014). Mesh Discriminative Features for 3D Steganalysis. ACM Transactions on Multimedia Computing, Communications and Applications, 10(3), Article 27. https://doi.org/10.1145/2535555

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 fea... Read More about Mesh Discriminative Features for 3D Steganalysis.