Combining haar feature and skin color based classifiers for face detection

Name: Combining haar feature and skin color based classifiers for face detection
Author: Eroğlu Erdem, Ç., Ulukaya, S., Karaali, A., Erdem, Tanju

İsim	Combining haar feature and skin color based classifiers for face detection
Yazar	Eroğlu Erdem, Ç., Ulukaya, S., Karaali, A., Erdem, Tanju
Basım Tarihi:	2011
Basım Yeri	- IEEE
Konu	Haar transforms, Face recognition, Image classification, Image colour analysis, Optical filters, Visual databases
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-4577-0537-3
Kayıt Numarası	08f27c73-5c30-4bef-a121-312317b16a65
Lokasyon	Computer Science
Tarih	2011
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	This paper presents a hybrid method for face detection in color images. The well known Haar feature-based face detector developed by Viola and Jones (VJ), that has been designed for gray-scale images is combined with a skin-color filter, which provides complementary information in color images. The image is first passed through a Haar-Feature based face detector, which is adjusted such that it is operating at a point on its ROC curve that has a low number of missed faces but a high number of false detections. Then, using the proposed skin color post-filtering method many of these false detections can be eliminated easily. We also use a color compensation algorithm to reduce the effects of lighting. Our experimental results on the Bao color face database show that the proposed method is superior to the original VJ algorithm and also to other skin color based pre-filtering methods in the literature in terms of precision.
DOI	10.1109/ICASSP.2011.5946777

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Combining haar feature and skin color based classifiers for face detection

Yazar Eroğlu Erdem, Ç., Ulukaya, S., Karaali, A., Erdem, Tanju

Basım Tarihi 2011

Basım Yeri - IEEE

Konu Haar transforms, Face recognition, Image classification, Image colour analysis, Optical filters, Visual databases

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-4577-0537-3

Kayıt Numarası 08f27c73-5c30-4bef-a121-312317b16a65

Lokasyon Computer Science

Tarih 2011

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin This paper presents a hybrid method for face detection in color images. The well known Haar feature-based face detector developed by Viola and Jones (VJ), that has been designed for gray-scale images is combined with a skin-color filter, which provides complementary information in color images. The image is first passed through a Haar-Feature based face detector, which is adjusted such that it is operating at a point on its ROC curve that has a low number of missed faces but a high number of false detections. Then, using the proposed skin color post-filtering method many of these false detections can be eliminated easily. We also use a color compensation algorithm to reduce the effects of lighting. Our experimental results on the Bao color face database show that the proposed method is superior to the original VJ algorithm and also to other skin color based pre-filtering methods in the literature in terms of precision.

DOI 10.1109/ICASSP.2011.5946777