IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-7908-2789-7_18.html
   My bibliography  Save this book chapter

A Biometric Interface to Ambient Intelligence Environments

In: Information Systems: Crossroads for Organization, Management, Accounting and Engineering

Author

Listed:
  • Andrea F. Abate

    (University of Salerno)

  • Michele Nappi

    (University of Salerno)

  • Stefano Ricciardi

    (University of Salerno)

Abstract

As domotic technologies are evolving from home automation towards Ambient Intelligence, context aware adaptive solutions for advanced environment management are emerging, featuring a broad range of services customized on each user’s specific needs. This scenario offers the opportunity to exploit the potential of face as a not intrusive biometric identifier not only to regulate access to the controlled environment but to adapt the ambient intelligence to the preferences of the recognized user. In this paper we present a 3D face recognition method applied to such an Ambient Intelligence framework. The proposed approach relies on stereoscopic face acquisition and 3D mesh reconstruction to avoid highly expensive and not automated 3D scanners, typically not suited for real time applications. For each subject enrolled, a bi-dimensional feature descriptor is extracted from its 3D mesh and compared to the previously stored correspondent template. This descriptor is a normal map, namely a color image in which RGB components represent the normals to the face geometry. A weighting mask, automatically generated for each authorized person, improves recognition robustness to a wide range of facial expression.

Suggested Citation

  • Andrea F. Abate & Michele Nappi & Stefano Ricciardi, 2012. "A Biometric Interface to Ambient Intelligence Environments," Springer Books, in: Marco De Marco & Dov Te'eni & Valentina Albano & Stefano Za (ed.), Information Systems: Crossroads for Organization, Management, Accounting and Engineering, edition 127, pages 155-163, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2789-7_18
    DOI: 10.1007/978-3-7908-2789-7_18
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-3-7908-2789-7_18. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.