A comparative study of baseline algorithms of face recognition

Zahid Mehmood, Tauseef Ali, Shahid Khattak, Samee U. Khan

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

8 Citations (Scopus)
127 Downloads (Pure)

Abstract

In this paper we present a comparative study of two well-known face recognition algorithms. The contribution of this work is to reveal the robustness of each FR algorithm with respect to various factors, such as variation in pose and low resolution of the images used for recognition. This evaluation is useful for practical applications where the types of the expected images are known. The two FR algorithms studied in this work are Principal Component Analysis (PCA) and AdaBoost with Linear Discriminant Analysis (LDA) as a weak learner. Images from multi-pie database are used for evaluation. Simulation results revealed that given one gallery (Training) face image and four different pose images as a probe (Testing), PCA based system is more accurate in recognizing pose, while AdaBoost was more robust on recognizing low resolution images.
Original languageUndefined
Title of host publication12th International Conference on Frontiers of Information Technology, FIT 2014
Place of PublicationUSA
PublisherIEEE
Pages263-268
Number of pages6
ISBN (Print)978-1-4799-7505-1
DOIs
Publication statusPublished - Dec 2014

Publication series

Name
PublisherIEEE

Keywords

  • SCS-Safety
  • METIS-312728
  • IR-97324
  • EWI-26323

Cite this

Mehmood, Z., Ali, T., Khattak, S., & Khan, S. U. (2014). A comparative study of baseline algorithms of face recognition. In 12th International Conference on Frontiers of Information Technology, FIT 2014 (pp. 263-268). USA: IEEE. https://doi.org/10.1109/FIT.2014.56
Mehmood, Zahid ; Ali, Tauseef ; Khattak, Shahid ; Khan, Samee U. / A comparative study of baseline algorithms of face recognition. 12th International Conference on Frontiers of Information Technology, FIT 2014. USA : IEEE, 2014. pp. 263-268
@inproceedings{9fa74c149dac4cefbd32577aadef4e5a,
title = "A comparative study of baseline algorithms of face recognition",
abstract = "In this paper we present a comparative study of two well-known face recognition algorithms. The contribution of this work is to reveal the robustness of each FR algorithm with respect to various factors, such as variation in pose and low resolution of the images used for recognition. This evaluation is useful for practical applications where the types of the expected images are known. The two FR algorithms studied in this work are Principal Component Analysis (PCA) and AdaBoost with Linear Discriminant Analysis (LDA) as a weak learner. Images from multi-pie database are used for evaluation. Simulation results revealed that given one gallery (Training) face image and four different pose images as a probe (Testing), PCA based system is more accurate in recognizing pose, while AdaBoost was more robust on recognizing low resolution images.",
keywords = "SCS-Safety, METIS-312728, IR-97324, EWI-26323",
author = "Zahid Mehmood and Tauseef Ali and Shahid Khattak and Khan, {Samee U.}",
note = "10.1109/FIT.2014.56",
year = "2014",
month = "12",
doi = "10.1109/FIT.2014.56",
language = "Undefined",
isbn = "978-1-4799-7505-1",
publisher = "IEEE",
pages = "263--268",
booktitle = "12th International Conference on Frontiers of Information Technology, FIT 2014",
address = "United States",

}

Mehmood, Z, Ali, T, Khattak, S & Khan, SU 2014, A comparative study of baseline algorithms of face recognition. in 12th International Conference on Frontiers of Information Technology, FIT 2014. IEEE, USA, pp. 263-268. https://doi.org/10.1109/FIT.2014.56

A comparative study of baseline algorithms of face recognition. / Mehmood, Zahid; Ali, Tauseef; Khattak, Shahid; Khan, Samee U.

12th International Conference on Frontiers of Information Technology, FIT 2014. USA : IEEE, 2014. p. 263-268.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - A comparative study of baseline algorithms of face recognition

AU - Mehmood, Zahid

AU - Ali, Tauseef

AU - Khattak, Shahid

AU - Khan, Samee U.

N1 - 10.1109/FIT.2014.56

PY - 2014/12

Y1 - 2014/12

N2 - In this paper we present a comparative study of two well-known face recognition algorithms. The contribution of this work is to reveal the robustness of each FR algorithm with respect to various factors, such as variation in pose and low resolution of the images used for recognition. This evaluation is useful for practical applications where the types of the expected images are known. The two FR algorithms studied in this work are Principal Component Analysis (PCA) and AdaBoost with Linear Discriminant Analysis (LDA) as a weak learner. Images from multi-pie database are used for evaluation. Simulation results revealed that given one gallery (Training) face image and four different pose images as a probe (Testing), PCA based system is more accurate in recognizing pose, while AdaBoost was more robust on recognizing low resolution images.

AB - In this paper we present a comparative study of two well-known face recognition algorithms. The contribution of this work is to reveal the robustness of each FR algorithm with respect to various factors, such as variation in pose and low resolution of the images used for recognition. This evaluation is useful for practical applications where the types of the expected images are known. The two FR algorithms studied in this work are Principal Component Analysis (PCA) and AdaBoost with Linear Discriminant Analysis (LDA) as a weak learner. Images from multi-pie database are used for evaluation. Simulation results revealed that given one gallery (Training) face image and four different pose images as a probe (Testing), PCA based system is more accurate in recognizing pose, while AdaBoost was more robust on recognizing low resolution images.

KW - SCS-Safety

KW - METIS-312728

KW - IR-97324

KW - EWI-26323

U2 - 10.1109/FIT.2014.56

DO - 10.1109/FIT.2014.56

M3 - Conference contribution

SN - 978-1-4799-7505-1

SP - 263

EP - 268

BT - 12th International Conference on Frontiers of Information Technology, FIT 2014

PB - IEEE

CY - USA

ER -

Mehmood Z, Ali T, Khattak S, Khan SU. A comparative study of baseline algorithms of face recognition. In 12th International Conference on Frontiers of Information Technology, FIT 2014. USA: IEEE. 2014. p. 263-268 https://doi.org/10.1109/FIT.2014.56