Performance Evaluation of Face Recognition Using Frames of Ten Pose Angles

Performance Evaluation of Face Recognition Using Frames of Ten Pose Angles

Bibliographic Details
Main Author: El Seuofi, Sherif M.
Language:English
Published: Youngstown State University / OhioLINK 2007
Subjects:
Computer Science
face recognition
biometrics
video-based face recognition
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ysu1198184813
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ysu11981848132021-08-03T06:17:54Z Performance Evaluation of Face Recognition Using Frames of Ten Pose Angles El Seuofi, Sherif M. Computer Science face recognition biometrics video-based face recognition <p>Face recognition has received much attention recently in the biometrics research. Many studies have shown improvement in recognition rate when 2D and 3D faces were combined. However, the use of the 3D face has a few limitations such as that the 3D data requires much more storage space and long processing time. Therefore, there is a strong interest to explore new methods that can provide similar or better results in the face recognition.</p> <p>This thesis presents an experimental study by using a sequence of rotating head videos under two different lighting conditions, regular indoor lighting and strong shadow lighting. The experiment were carried out using two sets of data, the first set of over 100 subjects and the second set of 47 subjects. Very promising results have been observed in terms of the recognition performance measured by the cumulative characteristics curves.</p> 2007-12-26 English text Youngstown State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ysu1198184813 http://rave.ohiolink.edu/etdc/view?acc_num=ysu1198184813 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Computer Science
face recognition
biometrics
video-based face recognition
spellingShingle Computer Science
face recognition
biometrics
video-based face recognition
El Seuofi, Sherif M.
Performance Evaluation of Face Recognition Using Frames of Ten Pose Angles
author El Seuofi, Sherif M.
author_facet El Seuofi, Sherif M.
author_sort El Seuofi, Sherif M.
title Performance Evaluation of Face Recognition Using Frames of Ten Pose Angles
title_short Performance Evaluation of Face Recognition Using Frames of Ten Pose Angles
title_full Performance Evaluation of Face Recognition Using Frames of Ten Pose Angles
title_fullStr Performance Evaluation of Face Recognition Using Frames of Ten Pose Angles
title_full_unstemmed Performance Evaluation of Face Recognition Using Frames of Ten Pose Angles
title_sort performance evaluation of face recognition using frames of ten pose angles
publisher Youngstown State University / OhioLINK
publishDate 2007
url http://rave.ohiolink.edu/etdc/view?acc_num=ysu1198184813
work_keys_str_mv AT elseuofisherifm performanceevaluationoffacerecognitionusingframesoftenposeangles
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