Algorithms for assessing the quality of facial images

Mohamed Abdel-Mottaleb, Mohammad H. Mahoor

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

The National Institute of Standards and Technology (NIST) published the NIST Fingerprint Image Quality algorithm in August, 2004, to address the problem of poor quality of facial images generated by video surveillance cameras, installed in public places. These algorithms can be used in the Quality Assessment (QA) module of face recognition systems and video cameras, to solve the problem of poor quality images. It is also needed to measure the level or intensity of the factors that affect the quality of facial images, to develop these algorithms for assessing the quality of these images. Two significant strategies have also been developed to deal with these problems. One of the strategies is concerned with improving blurring, lighting conditions, and head pose effects. The other strategy is involved with improving facial expressions of the facial images.

Original languageEnglish
Pages (from-to)10-17
Number of pages8
JournalIEEE Computational Intelligence Magazine
Volume2
Issue number2
DOIs
StatePublished - May 1 2007

Fingerprint

Image quality
Image Quality
Camera
Video cameras
Face recognition
Video Surveillance
Quality Assessment
Facial Expression
Lighting
Fingerprint
Face Recognition
Cameras
Module
Strategy
Standards

ASJC Scopus subject areas

  • Artificial Intelligence
  • Theoretical Computer Science

Cite this

Algorithms for assessing the quality of facial images. / Abdel-Mottaleb, Mohamed; Mahoor, Mohammad H.

In: IEEE Computational Intelligence Magazine, Vol. 2, No. 2, 01.05.2007, p. 10-17.

Research output: Contribution to journalArticle

@article{de3d6c1a3128431688ffc3e67b16a172,
title = "Algorithms for assessing the quality of facial images",
abstract = "The National Institute of Standards and Technology (NIST) published the NIST Fingerprint Image Quality algorithm in August, 2004, to address the problem of poor quality of facial images generated by video surveillance cameras, installed in public places. These algorithms can be used in the Quality Assessment (QA) module of face recognition systems and video cameras, to solve the problem of poor quality images. It is also needed to measure the level or intensity of the factors that affect the quality of facial images, to develop these algorithms for assessing the quality of these images. Two significant strategies have also been developed to deal with these problems. One of the strategies is concerned with improving blurring, lighting conditions, and head pose effects. The other strategy is involved with improving facial expressions of the facial images.",
author = "Mohamed Abdel-Mottaleb and Mahoor, {Mohammad H.}",
year = "2007",
month = "5",
day = "1",
doi = "10.1109/MCI.2007.353416",
language = "English",
volume = "2",
pages = "10--17",
journal = "IEEE Computational Intelligence Magazine",
issn = "1556-603X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

TY - JOUR

T1 - Algorithms for assessing the quality of facial images

AU - Abdel-Mottaleb, Mohamed

AU - Mahoor, Mohammad H.

PY - 2007/5/1

Y1 - 2007/5/1

N2 - The National Institute of Standards and Technology (NIST) published the NIST Fingerprint Image Quality algorithm in August, 2004, to address the problem of poor quality of facial images generated by video surveillance cameras, installed in public places. These algorithms can be used in the Quality Assessment (QA) module of face recognition systems and video cameras, to solve the problem of poor quality images. It is also needed to measure the level or intensity of the factors that affect the quality of facial images, to develop these algorithms for assessing the quality of these images. Two significant strategies have also been developed to deal with these problems. One of the strategies is concerned with improving blurring, lighting conditions, and head pose effects. The other strategy is involved with improving facial expressions of the facial images.

AB - The National Institute of Standards and Technology (NIST) published the NIST Fingerprint Image Quality algorithm in August, 2004, to address the problem of poor quality of facial images generated by video surveillance cameras, installed in public places. These algorithms can be used in the Quality Assessment (QA) module of face recognition systems and video cameras, to solve the problem of poor quality images. It is also needed to measure the level or intensity of the factors that affect the quality of facial images, to develop these algorithms for assessing the quality of these images. Two significant strategies have also been developed to deal with these problems. One of the strategies is concerned with improving blurring, lighting conditions, and head pose effects. The other strategy is involved with improving facial expressions of the facial images.

UR - http://www.scopus.com/inward/record.url?scp=34248380884&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34248380884&partnerID=8YFLogxK

U2 - 10.1109/MCI.2007.353416

DO - 10.1109/MCI.2007.353416

M3 - Article

AN - SCOPUS:34248380884

VL - 2

SP - 10

EP - 17

JO - IEEE Computational Intelligence Magazine

JF - IEEE Computational Intelligence Magazine

SN - 1556-603X

IS - 2

ER -