• DocumentCode
    2536816
  • Title

    Representation of objects in a volumetric frequency domain with application to face recognition

  • Author

    Ben-Arie, Jezekiel ; Nandy, Dibyendu

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
  • fYear
    1997
  • fDate
    17-19 Jun 1997
  • Firstpage
    615
  • Lastpage
    620
  • Abstract
    A novel method for representing 3-D objects that unifies viewer and model centered object representations is presented. A unified 3-D frequency-domain representation (called volumetric/iconic spectral signatures-V/ISS) encapsulates both the spatial structure of the object and a continuum of its views in the same data structure. The frequency-domain image of an object viewed from any direction can be directly extracted employing an extension of the projection slice theorem, where each Fourier-transformed view is a planar slice of the volumetric frequency representation. The V/ISS representation call be employed for pose-invariant recognition of complex objects such as faces. The recognition and pose estimation is based on an efficient matching algorithm in a four dimensional Fourier space. Experimental examples of pose estimation and recognition of faces are also presented
  • Keywords
    Fourier transforms; data structures; face recognition; frequency-domain analysis; image matching; image representation; object recognition; stereo image processing; 3D object representation; 4D Fourier space; Fourier-transformed view; complex objects; data structure; efficient matching algorithm; face recognition; frequency-domain image extraction; model centered object representations; object spatial structure; object view continuum; pose estimation; pose-invariant recognition; projection slice theorem; unified 3D frequency-domain representation; viewer centered object representations; volumetric frequency domain; volumetric/iconic spectral signatures; Data mining; Data structures; Face recognition; Frequency domain analysis; Image coding; Image recognition; Merging; Object recognition; Shape; Solids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
  • Conference_Location
    San Juan
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-7822-4
  • Type

    conf

  • DOI
    10.1109/CVPR.1997.609389
  • Filename
    609389