Logo des Repositoriums
 
Konferenzbeitrag

Face verification using Gabor filtering and adapted Gaussian mixture models

Lade...
Vorschaubild

Volltext URI

Dokumententyp

Text/Conference Paper

Zusatzinformation

Datum

2012

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik e.V.

Zusammenfassung

The search for robust features for face recognition in uncontrolled environments is an important topic of research. In particular, there is a high interest in Gaborbased features which have invariance properties to simple geometrical transformations. In this paper, we first reinterpret Gabor filtering as a frequency decomposition into bands, and analyze the influence of each band separately for face recognition. Then, a new face verification scheme is proposed, combining the strengths of Gabor filtering with Gaussian Mixture Model (GMM) modelling. Finally, this new system is evaluated on the BANCA and MOBIO databases with respect to well known face recognition algorithms. The proposed system demonstrates up to 52\% relative improvement in verification error rate compared to a standard GMM approach, and outperforms the state-of-the-art Local Gabor Binary Pattern Histogram Sequence (LGBPHS) technique for several face verification protocols on two different databases.

Beschreibung

Shafey, Laurent El; Wallace, Roy; Marcel, Sébastien (2012): Face verification using Gabor filtering and adapted Gaussian mixture models. BIOSIG 2012. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-290-1. pp. 397-408. Regular Research Papers. Darmstadt. 06.-07. September 2012

Schlagwörter

Zitierform

DOI

Tags