IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v15y2019i1p1550147719826042.html
   My bibliography  Save this article

A novel watermarking algorithm for three-dimensional point-cloud models based on vertex curvature

Author

Listed:
  • Jing Liu
  • Yajie Yang
  • Douli Ma
  • Wenjuan He
  • Yinghui Wang

Abstract

A new blind watermarking scheme for three-dimensional point-cloud models is proposed based on vertex curvature to achieve an appropriate trade-off between transparency and robustness. The root mean square curvature of local set of every vertex is first calculated for the three-dimensional point-cloud model and then the vertices with larger root mean square curvature are used to carry the watermarking information; the vertices with smaller root mean square curvature are exploited to establish the synchronization relation between the watermark embedding and extraction. The three-dimensional point-cloud model is divided into ball rings, and the watermarking information is inserted by modifying the radial radii of vertices within ball rings. Those vertices taking part in establishing the synchronization relation do not carry the watermarking information; therefore, the synchronization relation is not affected by the embedded watermark. Experimental results show the proposed method outperforms other well-known three-dimensional point-cloud model watermarking methods in terms of imperceptibility and robustness, especially for against geometric attack.

Suggested Citation

  • Jing Liu & Yajie Yang & Douli Ma & Wenjuan He & Yinghui Wang, 2019. "A novel watermarking algorithm for three-dimensional point-cloud models based on vertex curvature," International Journal of Distributed Sensor Networks, , vol. 15(1), pages 15501477198, January.
    • Handle: RePEc:sae:intdis:v:15:y:2019:i:1:p:1550147719826042
    DOI: 10.1177/1550147719826042
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147719826042
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147719826042?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:15:y:2019:i:1:p:1550147719826042. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.