Abstract
We propose a new semi-blind semi-fragile watermarking algorithm for authenticating triangulated 3D models using the surface integrals of generated random vector fields. Watermark data is embedded into the flux of a vector field across the model’s surface and through gradient-based optimization techniques, the vertices are shifted to obtain the modified flux values. The watermark can be extracted through the recomputation of the surface integrals and compared using correlation measures. This algorithm is invariant to Euclidean transformations including rotations and translation, reduces distortion, and achieves improved robustness to additive noise.
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Data Availability
Source code and data has been made available on a published Code Capsule on Code Ocean with the following https://doi.org/10.24433/CO.0174131.v4.
References
Embaby, A.A., Mohamed, A., Shalaby, W., Elsayed, K.: Digital watermarking properties, classification and techniques. Int. J. Eng. Adv. Technol. 9(3), 2742–2750 (2020)
Ahmed, N., Natarajan, T., Rao, K.R.: Discrete cosine transform. IEEE Trans. Comput. C 23(1), 90–93 (1974). https://doi.org/10.1109/T-C.1974.223784
Melkonian, S.: Mathematical Methods and Boundary Value Problems. Nelson, Toronto (2018)
Liu, Y., Prabhakaran, B., Guo, X.: A robust spectral approach for blind watermarking of manifold surfaces. In: Proceedings of the 10th ACM Workshop on Multimedia and Security. MM &Sec ’08, pp. 43–52. Association for Computing Machinery, New York (2008). https://doi.org/10.1145/1411328.1411338
Liu, Y., Prabhakaran, B., Guo, X.: Spectral watermarking for parameterized surfaces. IEEE Trans. Inform. Forens. Secur. 7(5), 1459–1471 (2012). https://doi.org/10.1109/TIFS.2012.2204251
Vandenberghe, L., Joslin, C.: 3D model watermarking using surface integrals of generated random vector fields. https://www.codeocean.com/ (2024). https://doi.org/10.24433/CO.0174131.v4
Webster, R., Oliver, M.A.: Geostatistics for Environmental Scientists. Wiley, New York (2009)
Kraichnan, R.H.: Diffusion by a random velocity fie. Phys. Fluids 13(1), 22–31 (1970). https://doi.org/10.1063/1.1692799
Mingarelli, A.: The ABC’S of Calculus, vol. 2. Angelo Mingarelli, Ottawa (2019)
Cox, I.J., Kilian, J., Leighton, F.T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. IEEE Trans. Image Process. 6(12), 1673–1687 (1997). https://doi.org/10.1109/83.650120
Goodfellow, I.J., Bengio, Y., Courville, A.: Deep Learning. MIT Press, Cambridge (2016)
Ohbuchi, R., Masuda, H., Aono, M.: Watermaking three-dimensional polygonal models. In: Proceedings of the Fifth ACM International Conference on Multimedia. MULTIMEDIA ’97, pp. 261–272. Association for Computing Machinery, New York (1997). https://doi.org/10.1145/266180.266377
Wang, Y.-P., Hu, S.-M.: A new watermarking method for 3d models based on integral invariants. IEEE Trans. Vis. Comput. Graph. 15(2), 285–294 (2009). https://doi.org/10.1109/TVCG.2008.101
Xu, T., Cai, Z.-Q.: A novel semi-fragile watermarking algorithm for 3d mesh models. In: 2012 International Conference on Control Engineering and Communication Technology, pp. 782–785 (2012). https://doi.org/10.1109/ICCECT.2012.180
Huang, C.-C., Yang, Y.-W., Fan, C.-M., Wang, J.-T.: A spherical coordinate based fragile watermarking scheme for 3d models, pp. 566–571 (2013). https://doi.org/10.1007/978-3-642-38577-3_58
Cheung, Y.M., Wu, H.T.: A sequential quantization strategy for data embedding and integrity verification. IEEE Trans. Circuits Syst. Video Technol. 17(8), 1007–1016 (2007). https://doi.org/10.1109/TCSVT.2007.903553
Maheshwari, P., Agarwal, P., Prabhakaran, B.: Progressive compression invariant semi-fragile watermarks for 3d meshes. In: Proceedings of the 9th Workshop on Multimedia & Security. MM &Sec ’07, pp. 245–250. Association for Computing Machinery, New York (2007). https://doi.org/10.1145/1288869.1288904
Borah, S., Borah, B.: A blind, semi-fragile 3d mesh watermarking algorithm using minimum distortion angle quantization index modulation (3d-mdaqim). Arab. J. Sci. Eng. 44, 3867–3882 (2019). https://doi.org/10.1007/s13369-018-03714-5
Borah, S., Borah, B.: Three-Dimensional (3D) Polygon Mesh Authentication Using Sequential Bit Substitution Strategy, pp. 617–627 (2020). https://doi.org/10.1007/978-981-13-8676-3_52
Bochkarev, M., Vybornova, Y.: A qim-based watermarking method for 3d mesh integrity protection. In: 2021 International Conference on Information Technology and Nanotechnology (ITNT), pp. 1–4 (2021).https://doi.org/10.1109/ITNT52450.2021.9649306
Peng, F., Long, B., Long, M.: A semi-fragile reversible watermarking for authenticating 3D models based on virtual polygon projection and double modulation strategy. In: IEEE Transactions on Multimedia, pp. 1–1 (2021) https://doi.org/10.1109/TMM.2021.3134159
Peng, F., Liao, T., Long, M.: A semi-fragile reversible watermarking for authenticating 3d models in dual domains based on variable direction double modulation. IEEE Trans. Circ. Syst. Video Technol. 32(12), 8394–8408 (2022). https://doi.org/10.1109/TCSVT.2022.3192542
Kaye, D., Ivrissimtzis, I.: Mesh alignment using grid based pca. In: Proceedings of the 10th International Conference on Computer Graphics Theory and Applications. GRAPP 2015, pp. 174–181. SCITEPRESS-Science and Technology Publications, Lda, Setubal, PRT (2015). https://doi.org/10.5220/0005313801740181
asais, R.M.C.: Contributions to Spectral Spatial Statistics. Santiago de Compostela, Santiago de Compostela (2007)
Falk, H., Vladyslav, P., Steffen, S., Sabine, A.: Generating random fields with a truncated power-law variogram: a comparison of several numerical methods. Environ. Model. Softw. 55, 32–48 (2014). https://doi.org/10.1016/j.envsoft.2014.01.013
Chaouch, M., Verroust, A.: Alignment of 3d models. Graph. Models 71, 63–76 (2009). https://doi.org/10.1016/j.gmod.2008.12.006
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L.V. wrote the main manuscript text, generated the experimental results, and prepared the figures. C.J. was an advisor who reviewed and provided feedback to improve the manuscript.
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Communicated by Balakrishnan Prabhakaran.
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Appendix A: Gradient
Appendix A: Gradient
By chain rule, the gradient used in Eq. (28) is written as
and the gradient of the flux with respect to the facet’s vertices is computed by
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Vandenberghe, L., Joslin, C. 3D model watermarking using surface integrals of generated random vector fields. Multimedia Systems 30, 253 (2024). https://doi.org/10.1007/s00530-024-01455-0
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DOI: https://doi.org/10.1007/s00530-024-01455-0