A comparison of histogram and template matching for face verification
Face identification and verification are parts of a face recognition process. The verification of faces involves the comparison of an input face to a known face to verify the claim of identity of an individual. Hence, the verification process must determine the similarity between two face images, a...
| Principais autores: | Chidambaram, Chidambaram, Marçal, Marlon Subtil, Dorini, Leyza Baldo, Vieira Neto, Hugo, Lopes, Heitor Silvério |
|---|---|
| Formato: | Trabalho Apresentado em Evento |
| Idioma: | Inglês |
| Publicado em: |
Curitiba
2013
|
| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/656 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
| id |
riut-1-656 |
|---|---|
| recordtype |
dspace |
| spelling |
riut-1-6562015-03-07T06:12:31Z A comparison of histogram and template matching for face verification Chidambaram, Chidambaram Marçal, Marlon Subtil Dorini, Leyza Baldo Vieira Neto, Hugo Lopes, Heitor Silvério Percepção facial Percepção de padrões Visão por computador Face perception Pattern perception Computer vision Face identification and verification are parts of a face recognition process. The verification of faces involves the comparison of an input face to a known face to verify the claim of identity of an individual. Hence, the verification process must determine the similarity between two face images, a face object image and a target face image. In order to determine the similarity of faces, different techniques can be used, such as methods based on templates and histograms. In real-world applications, captured face images may suffer variations due to disturbing factors such as image noise, changes in illumination, scaling, rotation and translation. Because of these variations, face verification becomes a complex process. In this context, a comparison between histogram and template matching methods is done in this work using images with variations. Different experiments were conducted to analyze the behavior of these methods and to define which method performs better in artificially generated images. 5000 2013-11-21T22:21:59Z 2012 conferenceObject CHIDAMBARAM, Chidambaram et al. A comparison of histogram and template matching for face verification. In: WORKSHOP DE VISÃO COMPUTACIONAL, 8., 2012, Goiânia. Anais eletrônicos... Goiânia, 2012. Disponível em: <http://iris.sel.eesc.usp.br/wvc/Anais_WVC2012/pdf/98018.pdf>. Acesso em: 16 jul. 2013. http://repositorio.utfpr.edu.br/jspui/handle/1/656 eng Workshop de Visão Computacional http://iris.sel.eesc.usp.br/wvc/Anais_WVC2012/pdf/98018.pdf application/pdf Curitiba |
| institution |
Universidade Tecnológica Federal do Paraná |
| collection |
RIUT |
| language |
Inglês |
| topic |
Percepção facial Percepção de padrões Visão por computador Face perception Pattern perception Computer vision |
| spellingShingle |
Percepção facial Percepção de padrões Visão por computador Face perception Pattern perception Computer vision Chidambaram, Chidambaram Marçal, Marlon Subtil Dorini, Leyza Baldo Vieira Neto, Hugo Lopes, Heitor Silvério A comparison of histogram and template matching for face verification |
| description |
Face identification and verification are parts of a face recognition process. The verification of faces involves the comparison of an input face to a known face to verify the claim of identity of an individual. Hence, the verification process must determine the similarity between two face images, a face object image and a target face image. In order to determine the similarity of faces, different techniques can be used, such as methods based on templates and histograms. In real-world applications, captured face images may suffer variations due to disturbing factors such as image noise, changes in illumination, scaling, rotation and translation. Because of these variations, face verification becomes a complex process. In this context, a comparison between histogram and template matching methods is done in this work using images with variations. Different experiments were conducted to analyze the behavior of these methods and to define which method performs better in artificially generated images. |
| format |
Trabalho Apresentado em Evento |
| author |
Chidambaram, Chidambaram Marçal, Marlon Subtil Dorini, Leyza Baldo Vieira Neto, Hugo Lopes, Heitor Silvério |
| author_sort |
Chidambaram, Chidambaram |
| title |
A comparison of histogram and template matching for face verification |
| title_short |
A comparison of histogram and template matching for face verification |
| title_full |
A comparison of histogram and template matching for face verification |
| title_fullStr |
A comparison of histogram and template matching for face verification |
| title_full_unstemmed |
A comparison of histogram and template matching for face verification |
| title_sort |
comparison of histogram and template matching for face verification |
| publisher |
Curitiba |
| publishDate |
2013 |
| citation |
CHIDAMBARAM, Chidambaram et al. A comparison of histogram and template matching for face verification. In: WORKSHOP DE VISÃO COMPUTACIONAL, 8., 2012, Goiânia. Anais eletrônicos... Goiânia, 2012. Disponível em: <http://iris.sel.eesc.usp.br/wvc/Anais_WVC2012/pdf/98018.pdf>. Acesso em: 16 jul. 2013. |
| url |
http://repositorio.utfpr.edu.br/jspui/handle/1/656 |
| _version_ |
1703203521453621248 |
| score |
10,966462 |