Publication detail
Face Detection Techniques - Theory and Applications
HORÁK, K.
Original Title
Face Detection Techniques - Theory and Applications
English Title
Face Detection Techniques - Theory and Applications
Type
conference paper
Language
en
Original Abstract
Detection of human faces plays a basic role in many applications of computer vision such as video surveillance, image retrieval, face recognition etc. This paper presents a general framework for face detection in both color and monochromatic images. Several basic methods of color transformations are introduced and discussed as well as advanced techniques such as boosted cascade of simple features or face symmetry detection. All presented techniques are based on completely different principles and so each method is suitable only for some applications.
English abstract
Detection of human faces plays a basic role in many applications of computer vision such as video surveillance, image retrieval, face recognition etc. This paper presents a general framework for face detection in both color and monochromatic images. Several basic methods of color transformations are introduced and discussed as well as advanced techniques such as boosted cascade of simple features or face symmetry detection. All presented techniques are based on completely different principles and so each method is suitable only for some applications.
Keywords
skin detection, face detection, color transformation, Haar-like features, symmetry features
RIV year
2012
Released
27.06.2012
Publisher
Institute of Automation and Computer Science
Location
Brno, Czech Republic
ISBN
978-80-214-4120-0
Book
The Proceedings of the 17th International Conference on Soft Computing
Pages from
1
Pages to
6
Pages count
6
Documents
BibTex
@inproceedings{BUT94168,
author="Karel {Horák}",
title="Face Detection Techniques - Theory and Applications",
annote="Detection of human faces plays a basic role in many applications of computer vision such as video surveillance, image retrieval, face recognition etc. This paper presents a general framework for face detection in both color and monochromatic images. Several basic methods of color transformations are introduced and discussed as well as advanced techniques such as boosted cascade of simple features or face symmetry detection. All presented techniques are based on completely different principles and so each method is suitable only for some applications.",
address="Institute of Automation and Computer Science",
booktitle="The Proceedings of the 17th International Conference on Soft Computing",
chapter="94168",
howpublished="print",
institution="Institute of Automation and Computer Science",
year="2012",
month="june",
pages="1--6",
publisher="Institute of Automation and Computer Science",
type="conference paper"
}