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dc.contributor.authorDey, Nilanjan
dc.contributor.authorAmar, Yesmine Ben
dc.contributor.authorTrabelsi, Imen
dc.contributor.authorBouhlel, Salim
dc.date2016
dc.date.accessioned2021-07-30T12:19:30Z
dc.date.available2021-07-30T12:19:30Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11693
dc.description.abstractThe three-dimensional (3D) polygonal meshes are recently widely used in several domains, which necessitate the realistic visualization of the objects. Moreover, there is an urgent need to protect the 3D data properties for preventing unauthorized reproduction. The 3D digital watermarking technology is one of the best solutions to protect data from piracy during transmission through the internet. The current work proposed a novel robust watermarking scheme of polygonal meshes for copyright protection purposes. The proposed algorithm is based on the characteristics of the mesh geometry to embed a sequence of data bits into the object by slightly adjusting the vertex positions. Furthermore, the proposed method used a blind detection scheme. The watermarked model is perceptually indistinguishable from the original one and the embedded watermark is invariant to affine transformation. Through simulations, the quality of the watermarked object as well as the inserted watermark robustness against various types of attacks were tested and evaluated to prove the validity and the efficiency of our algorithm.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 4, nº 2
dc.relation.urihttps://ijimai.org/journal/bibcite/reference/2580es_ES
dc.rightsopenAccesses_ES
dc.subjectsecurityes_ES
dc.subject3D technologieses_ES
dc.subjecteuclidean distancees_ES
dc.subjectwatermarkinges_ES
dc.subjectIJIMAIes_ES
dc.titleEuclidean Distance Distortion Based Robust and Blind Mesh Watermarkinges_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://doi.org/10.9781/ijimai.2016.428


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