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Related Experiment Videos

Watermarking mesh-based representations of 3-D objects using local moments.

Adrian G Bors1

  • 1Department of Computer Science, University of York, York YOI0 5DD, UK. adrian.bors@cs.york.ac.uk

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|March 8, 2006
PubMed
Summary

This study introduces a novel method for embedding digital information into 3-D models using geometric alterations. The technique offers robust fingerprinting and watermarking for 3-D graphical objects, even after cropping or noise.

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Area of Science:

  • Computer Graphics
  • Digital Watermarking
  • Geometric Modeling

Background:

  • Digital watermarking is crucial for copyright protection and data authentication.
  • Existing methods for 3-D models often struggle with robustness and imperceptibility.
  • Polygonal meshes are a common representation for 3-D graphical objects.

Purpose of the Study:

  • To propose a new methodology for fingerprinting and watermarking three-dimensional (3-D) graphical objects.
  • To develop algorithms that embed information with minimal perceptual distortion.
  • To analyze the information capacity and robustness of the proposed watermarking techniques.

Main Methods:

  • A watermarking methodology involving embedding and detection stages.
  • Information is embedded via local geometrical perturbations on polygonal meshes, preserving connectivity.

Related Experiment Videos

  • A neighborhood localized measure identifies vertices for watermarking in less perceptible regions.
  • Two algorithms are proposed: one using parallel planes, the other bounding ellipsoids for embedding constraints.

    • Main Results:

    • The proposed measure effectively selects vertices for imperceptible watermarking.
    • Two blind watermarking algorithms (requiring no original model for detection) were developed.
    • Analysis of information capacity for various 3-D meshes was performed.
    • Robustness testing against noise perturbation and object cropping demonstrated the algorithms' resilience.

    Conclusions:

    • The developed methodology provides effective fingerprinting and watermarking for 3-D graphical objects.
    • The proposed algorithms are robust against common attacks like noise and cropping.
    • The techniques offer a viable solution for protecting intellectual property in 3-D digital content.