2019
DOI: 10.1109/access.2019.2952058
|View full text |Cite
|
Sign up to set email alerts
|

Adaptive Unified Data Embedding and Scrambling for Three-Dimensional Mesh Models

Abstract: Traditionally, unified data embedding and scrambling techniques have been designed for grayscale images, which cannot be applied directly to a three-dimensional (3D) mesh. Recently, the universal use of 3D technology inspired us to innovate in this field. In this paper, an adaptive unified data embedding and scrambling technique for 3D mesh models (3D-AUES) is proposed, which can embed external data and scramble 3D mesh simultaneously. First, a vertex coordinate prediction method called cross prediction is ado… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 45 publications
0
1
0
Order By: Relevance
“…Liu et al [14] proposed a 3D point cloud model watermarking algorithm based on feature point location The watermark is embedded into the vertices with large average curvature by modifying the azimuth of the feature vertices. Hao et al [15] proposed an adaptive embedding watermarking algorithm for 3D mesh models, which has a high embedding capacity by adaptive threshold to select the vertices to be embedded. Yang et al [16] adopted the edge embedding technique in integer wavelet transform.…”
Section: Introductionmentioning
confidence: 99%
“…Liu et al [14] proposed a 3D point cloud model watermarking algorithm based on feature point location The watermark is embedded into the vertices with large average curvature by modifying the azimuth of the feature vertices. Hao et al [15] proposed an adaptive embedding watermarking algorithm for 3D mesh models, which has a high embedding capacity by adaptive threshold to select the vertices to be embedded. Yang et al [16] adopted the edge embedding technique in integer wavelet transform.…”
Section: Introductionmentioning
confidence: 99%