Face detection with boosted Gaussian features

MEYNET, Julien; Vlad POPOVICI a Jean-Philippe THIRAN. Face detection with boosted Gaussian features. PATTERN RECOGNITION. OXFORD: PERGAMON-ELSEVIER SCIENCE LTD, 2007, roč. 40, č. 8, s. 2283-2291. ISSN 0031-3203. Dostupné z: https://doi.org/10.1016/j.patcog.2007.02.001.

Základní údaje

Originální název

Face detection with boosted Gaussian features

Autoři

MEYNET, Julien; Vlad POPOVICI a Jean-Philippe THIRAN

Vydání

PATTERN RECOGNITION, OXFORD, PERGAMON-ELSEVIER SCIENCE LTD, 2007, 0031-3203

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Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 2.019

Označené pro přenos do RIV

Ne

DOI

https://doi.org/10.1016/j.patcog.2007.02.001

UT WoS

000246534800014

Klíčová slova anglicky

face detection; AdaBoost; Gaussian features

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Anotace

V originále

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. (C) 2007 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.