TY - GEN
T1 - Data embedding of 3D triangular mesh models using ordered ring facets
AU - Werghi, Naoufel
AU - Medimegh, Nassima
AU - Gazzah, Sami
PY - 2013
Y1 - 2013
N2 - In this paper we propose a method for embedding binary data in triangular mesh models. Contrary to digital images and audio which benefit from the intrinsically ordered structure of the matrix and the array. 3D triangular mesh model lacks this capital property even though it can be encoded in an array date structure. Such a lack often complicates the different aspects of data embedding, like model traversal, data insertion, and synchronization. We address this problem with a mesh data representation which encodes the mesh data into a novel ordered structure, dubbed, the Ordered Rings Facets (ORF). This structure is composed of concentric rings in which the triangles are arranged in a circular fashion. This representation exhibits several interesting features that include a systematic traversing of the whole mesh model, simple mechanisms for avoiding the causality problem, and an efficient computation of the embedding distortion. Our method can be also adapted to different scenarios of data embedding, which includes stenography and fragile watermarking.
AB - In this paper we propose a method for embedding binary data in triangular mesh models. Contrary to digital images and audio which benefit from the intrinsically ordered structure of the matrix and the array. 3D triangular mesh model lacks this capital property even though it can be encoded in an array date structure. Such a lack often complicates the different aspects of data embedding, like model traversal, data insertion, and synchronization. We address this problem with a mesh data representation which encodes the mesh data into a novel ordered structure, dubbed, the Ordered Rings Facets (ORF). This structure is composed of concentric rings in which the triangles are arranged in a circular fashion. This representation exhibits several interesting features that include a systematic traversing of the whole mesh model, simple mechanisms for avoiding the causality problem, and an efficient computation of the embedding distortion. Our method can be also adapted to different scenarios of data embedding, which includes stenography and fragile watermarking.
UR - https://www.scopus.com/pages/publications/84883108713
U2 - 10.1109/SSD.2013.6564006
DO - 10.1109/SSD.2013.6564006
M3 - Conference contribution
AN - SCOPUS:84883108713
SN - 9781467364584
T3 - 2013 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013
BT - 2013 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013
T2 - 2013 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013
Y2 - 18 March 2013 through 21 March 2013
ER -