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Published in:
2005 | OriginalPaper | Chapter
3D Watermarking Shape Recognition System Using Normal Vector Distribution Modelling
Authors : Ki-Ryong Kwon, Seong-Geun Kwon, Suk-Hwan Lee
Published in: Artificial Intelligence and Simulation
Publisher: Springer Berlin Heidelberg
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We developed the shape recognition system with 3D watermarking using normal vector distribution. The 3D shape recognition system consists of laser beam generator, linear CCD imaging system, and digital signal processing hardware and software. 3D Watermark algorithm is embedded by 3D mesh model using each patch EGI distribution. The proposed algorithm divides a 3D mesh model into 4 patches to have the robustness against the partial geometric deformation. Plus, it uses EGI distributions as the consistent factor that has the robustness against the topological deformation. To satisfy both geometric and topological deformation, the same watermark bits for each subdivided patch are embedded by changing the mesh normal vectors. Moreover, the proposed algorithm does not need the original mesh model and the resampling process to extract the watermark. Experimental results verify that the proposed algorithm is imperceptible and robust against geometrical and topological attacks.