3D mesh watermarking using salient points

Author:

Medimegh NassimaORCID,Belaid Samir,Atri Mohamed,Werghi Naoufel

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference35 articles.

1. Bors AG, Luo M (2013) Minimal surface distortion function for optimizing 3d watermarking. IEEE Trans Image Process, 1822–1835

2. Cayre F, Rondao-Alface P, Schmitt F, Macq B, Maitre H (2003) Application of spectral decomposition to compression and watermarking of 3D triangle mesh geometry. Signal Process 18:309–319

3. Chen L, Kong X, Weng B, Yao Z, Pan R (2011) A novel robust mesh watermarking based on BNBW. Advances in Signal Processing, pp 1–9

4. Cho JW, Prost R, Jung HY (2007) An oblivious watermarking for 3-D polygonal meshes using distribution of vertex norms. IEEE Trans Signal Process 55:142–155

5. Chou CM, Tseng DC (2007) Technologies for 3D model watermarking: a survey. IJCSNS International Journal of Computer Science and Network Security 7:328–334

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1. Levenberg–Marquardt deep neural watermarking for 3D mesh using nearest centroid salient point learning;Scientific Reports;2024-03-23

2. Robust 3D watermarking with high imperceptibility based on EMD on surfaces;The Visual Computer;2023-12-21

3. An Information Hiding Algorithm of 3D Model Based on Curvature Radius;Proceedings of the 2023 International Conference on Electronics, Computers and Communication Technology;2023-11-17

4. Novel 3D Model Zero-Watermarking Using Geometrical and Statistical Features;Lecture Notes in Computer Science;2023

5. Learning to Predict 3D Mesh Saliency;2022 26th International Conference on Pattern Recognition (ICPR);2022-08-21

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