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2007

Face detection with boosted Gaussian features

9 years 9 months ago
Face detection with boosted Gaussian features
Detecting faces in images is a key step in numerous computer vision applications, such as face recognition or facial expression analysis. Automatic face detection is a difficult task because of the large face intra-class variability which is due to the important influence of the environmental conditions on the face appearance. We propose new features based on anisotropic Gaussian filters for detecting frontal faces in complex images. The performances of our face detector based on these new features have been evaluated on reference test sets, and clearly show improvements compared to the state-of-the-art. ᭧ 2007 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Julien Meynet, Vlad Popovici, Jean-Philippe Thiran
Added 27 Dec 2010
Updated 27 Dec 2010
Type Journal
Year 2007
Where PR
Authors Julien Meynet, Vlad Popovici, Jean-Philippe Thiran
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