Proceedings of the 2004 Workshop on Multimedia and Security 2004
DOI: 10.1145/1022431.1022445
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Data hiding on 3D polygonal meshes

Abstract: This paper presents a high-capacity method to embed information into the geometry of a 3D polygonal mesh. The method extends a previously reported work, to which several improvements have been brought. By construction, the new embedding algorithm is robust against rotation, scaling and translation attacks. Analysis of the proposed method on different meshes showed that its embedding capacity compares to that of previous high-capacity works. Furthermore, the new technique introduces only negligible amount of di… Show more

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Cited by 31 publications
(13 citation statements)
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“…Similarly, Maret and Ebrahimi [19] developed a high-capacity method to embed information into the geometry of a 3-D polygonal mesh. To guarantee robustness against rotation, scaling and translation attacks, the model geometry is transformed into a similarity-invariant space resulting in a non-uniformly sampled function on the unit sphere.…”
Section: Brief Review Of High-capacity Mesh Watermarking Techniquesmentioning
confidence: 99%
“…Similarly, Maret and Ebrahimi [19] developed a high-capacity method to embed information into the geometry of a 3-D polygonal mesh. To guarantee robustness against rotation, scaling and translation attacks, the model geometry is transformed into a similarity-invariant space resulting in a non-uniformly sampled function on the unit sphere.…”
Section: Brief Review Of High-capacity Mesh Watermarking Techniquesmentioning
confidence: 99%
“…ponent r i represents approximately the mesh shape, its modification is supposed to be more robust than a single x i , y i or z i component modification. These are two other reasons for why numerous researchers chose to watermark in the spherical coordinate system [21]- [23].…”
Section: ) Robust Techniques In Spatial Domainmentioning
confidence: 99%
“…Since then many modifications and improvements have been proposed by many researchers. Some of these methods work in spatial domain [2,3,5,6,8,12,13,19,20,22,23], and others in spectral domain [9,11,[14][15][16]18]. By transforming the model to spectral domain and applying the data embedding/extraction operation in this domain, the stego-model is more likely to possess better robustness.…”
Section: Related Workmentioning
confidence: 99%