search-head

Sie sind hier: Homepage >  Suche

    Recognition of Digital Images of the Human Face at Ultra Low Resolution Via Illumination Spaces

    Recognition of Digital Images of the Human Face at Ultra Low Resolution Via Illumination Spaces


    Recent work has established that digital images of a human face, collected under various illumination conditions, contain discriminatory information that can be used in classification. In this paper we demonstrate that sufficient discriminatory information persists at ultra-low resolution to enable a computer to recognize specific human faces in settings beyond human capabilities. For instance, we utilized the Haar wavelet to modify a collection of images to emulate pictures from a 25-pixel camera. From these modified images, a low-resolution illumination space was constructed for each individual in the CMU-PIE database. Each illumination space was then interpreted as a point on a Grassmann manifold. Classification that exploited the geometry on this manifold yielded error-free classification rates for this data set. This suggests the general utility of a low-resolution illumination camera for set-based image recognition problems.

    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €

    Exportieren, teilen und zitieren

    Dokumentinformationen

    Titel :

    Recognition of Digital Images of the Human Face at Ultra Low Resolution Via Illumination Spaces

    Beteiligte:
    Yagi, Yasushi (Herausgeber:in) / Kang, Sing Bing (Herausgeber:in) / Kweon, In So (Herausgeber:in) / Zha, Hongbin (Herausgeber:in) / Chang, Jen-Mei (Autor:in) / Kirby, Michael (Autor:in) / Kley, Holger (Autor:in) / Peterson, Chris (Autor:in) / Draper, Bruce (Autor:in) / Beveridge, J. Ross (Autor:in)
    Kongress:

    Asian Conference on Computer Vision ; 2007 ; Tokyo, Japan November 18, 2007 - November 22, 2007

    Erschienen in:

    Computer Vision – ACCV 2007 ; Kapitel : 72 ; 733-743

    Lecture Notes in Computer Science ; 4844

    Erscheinungsdatum :

    2007-01-01

    Format / Umfang :

    11 pages

    ISBN :

    978-3-540-76390-1 , 978-3-540-76389-5

    ISSN :

    1611-3349 , 0302-9743

    DOI :

    https://doi.org/10.1007/978-3-540-76390-1_72

    Medientyp :

    Aufsatz/Kapitel (Buch)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

    Schlagwörter :

    Face Recognition , Discrete Wavelet Transform , Human Face , Haar Wavelet , Grassmann Manifold Computer Science , Image Processing and Computer Vision , Computer Imaging, Vision, Pattern Recognition and Graphics , Pattern Recognition , Artificial Intelligence , Biometrics , Algorithm Analysis and Problem Complexity

    Ähnliche Titel

    Face recognition in low resolution thermal images

    Mostafa, E. / Hammoud, R. / Ali, A. et al. | British Library Online Contents | 2013

    Illumination Modeling and Normalization for Face Recognition

    Wang, H. / Li, S. / Wang, Y. et al. | British Library Conference Proceedings | 2003

    Multiscale Fusion of Visible and Thermal IR Images for Illumination-Invariant Face Recognition

    Kong, S. G. / Heo, J. / Boughorbel, F. et al. | British Library Online Contents | 2007

    Illumination modeling and normalization for face recognition

    Haitao Wang, / Li, S.Z. / Yangsheng Wang, et al. | IEEE | 2003

    Linear Subspaces for Illumination Robust Face Recognition

    Batur, A. U. / Hayes, M. H. / IEEE | British Library Conference Proceedings | 2001

    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €

    Seitennavigation

    Dokumentinformationen

    Ähnliche Titel

    Exportieren, teilen und zitieren