• DocumentCode
    3580618
  • Title

    Watermarking for 3-D Polygon Mesh Using Mean Curvature Feature

  • Author

    Garg, Hitendra ; Arora, Gagandeep ; Bhatia, Komal

  • Author_Institution
    Dept. of CSE, Hindustan Coll. of Sci. & Technol., Mathura, India
  • fYear
    2014
  • Firstpage
    903
  • Lastpage
    908
  • Abstract
    Copyright protection of 3-D objects are also important for protecting author rights in animation, multimedia, computer aided design (CAD), virtual reality, medical imaging etc. Especially in the grown up market of video-games, there is demand for a watermarking technique for 3-D-objects. In this paper, we propose a robust watermarking algorithm having less perceivable distortion for 3-D polygon mesh objects based on geometrical properties. The selection of vertices for watermark embedding is based on perceivable distortion. The perceivable distortion is defined as the distortion observed by human observers. The selection of vertices for watermark embedding is an important factor for perceivable distortion as watermark embedding in deeper surface has less perceivable distortion in comparison to watermark embedding in flat or peak surfaces. In the proposed algorithm, we exploit this observation for selection of vertices for watermark embedding. The watermark is embedded by repositioning the selected vertices from their original positions.
  • Keywords
    computer graphics; image watermarking; mesh generation; 3D polygon mesh; CAD; animation; computer aided design; copyright protection; geometrical properties; human observers; mean curvature feature; medical imaging; multimedia; peak surfaces; perceivable distortion; robust watermarking algorithm; video games; virtual reality; watermark embedding; watermarking technique; Algorithm design and analysis; Correlation; Distortion measurement; Measurement uncertainty; Robustness; Smoothing methods; Watermarking; 3-D Polygon Mesh; Hausdorff distance; Mean Curvature; Objective measurement; RMS distance; Subjective measurement; perceivable visual quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6928-9
  • Type

    conf

  • DOI
    10.1109/CICN.2014.190
  • Filename
    7065610