ANALYSIS OF METHODS FOR DETECTING FACES IN AN IMAGE

In this article, computer vision is considered as modern technology of automatic processing of graphic images, and the relationship between the terms “computer vision” and “machine vision” is investigated. A diagram of a typical computer vision system is given and the possibility of using a system b...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autor principal:	Zh. Sultanov
Formato:	article
Lenguaje:	EN
Publicado:	Astana IT University 2021
Materias:	computer vision, face recognition, kotropoulos & pitas method Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/2b41f4e3900f4939bab766aa4791119a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:2b41f4e3900f4939bab766aa4791119a
record_format	dspace
spelling	oai:doaj.org-article:2b41f4e3900f4939bab766aa4791119a2021-12-02T13:00:20ZANALYSIS OF METHODS FOR DETECTING FACES IN AN IMAGE2707-90312707-904Xhttps://doaj.org/article/2b41f4e3900f4939bab766aa4791119a2021-10-01T00:00:00Zhttp://ojs.astanait.edu.kz/index.php/sjaitu/article/view/89https://doaj.org/toc/2707-9031https://doaj.org/toc/2707-904XIn this article, computer vision is considered as modern technology of automatic processing of graphic images, and the relationship between the terms “computer vision” and “machine vision” is investigated. A diagram of a typical computer vision system is given and the possibility of using a system based on an artificial neural network for image analysis is considered. The article analyses the current situation with the use of computer vision systems and the possibility of its application. This article presents face recognition algorithms for existing categories, including: empirical method; feature method – invariant feature; use the template specified by the developer for identification; study the method of detecting the system by external signs. The empirical method of “top-down knowledge-based methods” involves creating an algorithm that implements a set of rules that image segments must satisfy in order to be recognized as faces. Feature-invariant approaches (Feature-invariant approaches) based on bottom-up knowledge constitute the second group of face detection methods. The methods of this group have the ability to recognize faces in different places as an advantage. Use the template set by the developer for identification (template matching method). Templates define specific standard images of face images, for example, describing the attributes of different areas of the face and their possible mutual positions. A method for detecting faces by external signs (a method for performing the training stage of the system by processing test images). The image (or its fragments) is somehow assigned a calculated feature vector, which is used to classify the image into two categories – human face/non-human face.Zh. SultanovAstana IT Universityarticlecomputer vision, face recognition, kotropoulos & pitas methodInformation technologyT58.5-58.64ENScientific Journal of Astana IT University, Vol 7, Iss 7, Pp 77-88 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	computer vision, face recognition, kotropoulos & pitas method Information technology T58.5-58.64
spellingShingle	computer vision, face recognition, kotropoulos & pitas method Information technology T58.5-58.64 Zh. Sultanov ANALYSIS OF METHODS FOR DETECTING FACES IN AN IMAGE
description	In this article, computer vision is considered as modern technology of automatic processing of graphic images, and the relationship between the terms “computer vision” and “machine vision” is investigated. A diagram of a typical computer vision system is given and the possibility of using a system based on an artificial neural network for image analysis is considered. The article analyses the current situation with the use of computer vision systems and the possibility of its application. This article presents face recognition algorithms for existing categories, including: empirical method; feature method – invariant feature; use the template specified by the developer for identification; study the method of detecting the system by external signs. The empirical method of “top-down knowledge-based methods” involves creating an algorithm that implements a set of rules that image segments must satisfy in order to be recognized as faces. Feature-invariant approaches (Feature-invariant approaches) based on bottom-up knowledge constitute the second group of face detection methods. The methods of this group have the ability to recognize faces in different places as an advantage. Use the template set by the developer for identification (template matching method). Templates define specific standard images of face images, for example, describing the attributes of different areas of the face and their possible mutual positions. A method for detecting faces by external signs (a method for performing the training stage of the system by processing test images). The image (or its fragments) is somehow assigned a calculated feature vector, which is used to classify the image into two categories – human face/non-human face.
format	article
author	Zh. Sultanov
author_facet	Zh. Sultanov
author_sort	Zh. Sultanov
title	ANALYSIS OF METHODS FOR DETECTING FACES IN AN IMAGE
title_short	ANALYSIS OF METHODS FOR DETECTING FACES IN AN IMAGE
title_full	ANALYSIS OF METHODS FOR DETECTING FACES IN AN IMAGE
title_fullStr	ANALYSIS OF METHODS FOR DETECTING FACES IN AN IMAGE
title_full_unstemmed	ANALYSIS OF METHODS FOR DETECTING FACES IN AN IMAGE
title_sort	analysis of methods for detecting faces in an image
publisher	Astana IT University
publishDate	2021
url	https://doaj.org/article/2b41f4e3900f4939bab766aa4791119a
work_keys_str_mv	AT zhsultanov analysisofmethodsfordetectingfacesinanimage
_version_	1718393555406290944

ANALYSIS OF METHODS FOR DETECTING FACES IN AN IMAGE

Ejemplares similares