2017
DOI: 10.1016/j.neucom.2016.12.065
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A robust and blind 3D watermarking algorithm using multiresolution adaptive parameterization of surface

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Cited by 28 publications
(20 citation statements)
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“…In order to further evaluate the imperceptibility of our method, we compare it with the scheme in [18]. The obtained results prove the high imperceptibility of the proposed technique compared with [17], [18] and [19]. Table II sketches the comparison of imperceptibility in terms of MSDM for Horse.…”
Section: Methods Bunnymentioning
confidence: 93%
See 1 more Smart Citation
“…In order to further evaluate the imperceptibility of our method, we compare it with the scheme in [18]. The obtained results prove the high imperceptibility of the proposed technique compared with [17], [18] and [19]. Table II sketches the comparison of imperceptibility in terms of MSDM for Horse.…”
Section: Methods Bunnymentioning
confidence: 93%
“…A benchmarking system is used to evaluate the proposed method [24]. In order to further evaluate the robustness against several attacks, we compare our proposed method with the performance of the methods in [17] and [19].…”
Section: Robustnessmentioning
confidence: 99%
“…However, the cloud cannot introduce distortion of original content during watermark embedding. Therefore, the reversible watermarking method is required [5,6]. In addition, the watermark carrier is vulnerable during transmission, and the embedded watermark is expected to resist common attacks [7,8].…”
Section: Introductionmentioning
confidence: 99%
“…Many of them are watermarking algorithms involving spatial domain. In spatial watermarking algorithms, [3][4][5][6][7] watermarking information is embedded by directly modifying topological or geometric features of mesh models. Liu et al 3 presented a watermarking method for triangular mesh models; in this method, the multi-resolution adaptive parameterization of surface (MAPS) approach is used to partition the model, and the watermarking information is inserted into the vertices lying in the fine level.…”
Section: Introductionmentioning
confidence: 99%