Abstract
We propose a robust 3D object watermarking technique based on spectral decomposition and nonnegative matrix factorization (NMF). The core idea behind our technique is to apply the NMF to small blocks of the spectral coefficient matrix of a 3D triangle mesh. The proposed scheme improves the performance of the data embedding system, perceptual invisibility and it is resistant to a variety of the most common attacks.
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© 2008 Springer-Verlag Berlin Heidelberg
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Abdallah, E.E., Hamza, A.B., Bhattacharya, P. (2008). Robust 3D Watermarking Technique Using Eigendecomposition and Nonnegative Matrix Factorization. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69812-8_25
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DOI: https://doi.org/10.1007/978-3-540-69812-8_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69811-1
Online ISBN: 978-3-540-69812-8
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