3D watermarking shape recognition system using normal vector distribution modelling

  • Authors:
  • Ki-Ryong Kwon;Seong-Geun Kwon;Suk-Hwan Lee

  • Affiliations:
  • Division of Digital Information Eng., Pusan Univ. of Foreign Studies, Pusan, Republic of Korea;R&D Group 3, Mobile Communication Division, Information & Communication Business, Samsung Electronics Co., LTD, Republic of Korea;School of Electrical Engineering and Computer Science, Kyungpook National Univ., Daegu, Republic of Korea

  • Venue:
  • AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.