Abstract
A 3D-2D watermarking method using a perspective projective invariant is proposed. Data is embedded in positions of six interest points on a 3D mesh, and extracted from any 2D view generated as long as the points remain visible. Determining interest point position change vectors, an important part of this method, is investigated. Different watermark embedding schemes including methods using heuristics and optimization of the watermark function are implemented. Simulations are done on random point sets and on six 3D mesh models with different watermark energies and view angles. Results show that the perspective invariant is suitable for 3D-2D watermarking using optimization based data embedding, confirming the new area of research that was introduced in previous work.
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Yaşaroğlu, Y., Alatan, A.A. (2013). Optimal Data Embedding in 3D Models for Extraction from 2D Views Using Perspective Invariants. In: Shi, Y.Q., Kim, HJ., Pérez-González, F. (eds) The International Workshop on Digital Forensics and Watermarking 2012. IWDW 2012. Lecture Notes in Computer Science, vol 7809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40099-5_8
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DOI: https://doi.org/10.1007/978-3-642-40099-5_8
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