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Affine-Invariant Fourier Descriptions for Feature-Based Facial Recognition

Permanent Link: http://ncf.sobek.ufl.edu/NCFE003698/00001

Material Information

Title: Affine-Invariant Fourier Descriptions for Feature-Based Facial Recognition
Physical Description: Book
Language: English
Creator: Schechter, Erica
Publisher: New College of Florida
Place of Publication: Sarasota, Fla.
Creation Date: 2006
Publication Date: 2006

Subjects

Subjects / Keywords: Fourier
Affine
Facial Recognition
Genre: bibliography   ( marcgt )
theses   ( marcgt )
government publication (state, provincial, terriorial, dependent)   ( marcgt )
born-digital   ( sobekcm )
Electronic Thesis or Dissertation

Notes

Abstract: Facial recognition systems have been commercially employed in efforts to halt identity theft, eliminate duplicate voters, catch criminals, and automate the collection of demographic data. Despite the high demand for this technology, no existing software has provided a reliable means of identifying individuals in a scene using a stored database of images. In this paper, I explore one aspect of face recognition, known as image classification. This deals with the way in which images are parameterized and stored prior to performing comparisons. First, I explore the obstacles present in classifying facial images. Next, I examine the various approaches to resolving these issues. In researching the state of the art of facial recognition, I hypothesized that a geometric based feature-oriented method would be the most effective technique. I chose to implement this by using Fourier descriptors modified for affine invariance, as this would yield a substantial amount of information while excluding noisy and irrelevant data. I coded a program called OpenFace which utilizes affine-invariant Fourier descriptors. After performing a number of tests, OpenFace showed favorable results. I believe that this is a promising technology for facial classification.
Statement of Responsibility: by Erica Schechter
Thesis: Thesis (B.A.) -- New College of Florida, 2006
Electronic Access: RESTRICTED TO NCF STUDENTS, STAFF, FACULTY, AND ON-CAMPUS USE
Bibliography: Includes bibliographical references.
Source of Description: This bibliographic record is available under the Creative Commons CC0 public domain dedication. The New College of Florida, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.
Local: Faculty Sponsor: Mullins, David

Record Information

Source Institution: New College of Florida
Holding Location: New College of Florida
Rights Management: Applicable rights reserved.
Classification: local - S.T. 2006 S3
System ID: NCFE003698:00001

Permanent Link: http://ncf.sobek.ufl.edu/NCFE003698/00001

Material Information

Title: Affine-Invariant Fourier Descriptions for Feature-Based Facial Recognition
Physical Description: Book
Language: English
Creator: Schechter, Erica
Publisher: New College of Florida
Place of Publication: Sarasota, Fla.
Creation Date: 2006
Publication Date: 2006

Subjects

Subjects / Keywords: Fourier
Affine
Facial Recognition
Genre: bibliography   ( marcgt )
theses   ( marcgt )
government publication (state, provincial, terriorial, dependent)   ( marcgt )
born-digital   ( sobekcm )
Electronic Thesis or Dissertation

Notes

Abstract: Facial recognition systems have been commercially employed in efforts to halt identity theft, eliminate duplicate voters, catch criminals, and automate the collection of demographic data. Despite the high demand for this technology, no existing software has provided a reliable means of identifying individuals in a scene using a stored database of images. In this paper, I explore one aspect of face recognition, known as image classification. This deals with the way in which images are parameterized and stored prior to performing comparisons. First, I explore the obstacles present in classifying facial images. Next, I examine the various approaches to resolving these issues. In researching the state of the art of facial recognition, I hypothesized that a geometric based feature-oriented method would be the most effective technique. I chose to implement this by using Fourier descriptors modified for affine invariance, as this would yield a substantial amount of information while excluding noisy and irrelevant data. I coded a program called OpenFace which utilizes affine-invariant Fourier descriptors. After performing a number of tests, OpenFace showed favorable results. I believe that this is a promising technology for facial classification.
Statement of Responsibility: by Erica Schechter
Thesis: Thesis (B.A.) -- New College of Florida, 2006
Electronic Access: RESTRICTED TO NCF STUDENTS, STAFF, FACULTY, AND ON-CAMPUS USE
Bibliography: Includes bibliographical references.
Source of Description: This bibliographic record is available under the Creative Commons CC0 public domain dedication. The New College of Florida, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.
Local: Faculty Sponsor: Mullins, David

Record Information

Source Institution: New College of Florida
Holding Location: New College of Florida
Rights Management: Applicable rights reserved.
Classification: local - S.T. 2006 S3
System ID: NCFE003698:00001

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