Use este identificador para citar ou linkar para este item: http://repositorio.utfpr.edu.br/jspui/handle/1/656
Título: A comparison of histogram and template matching for face verification
Autor(es): Chidambaram, Chidambaram
Marçal, Marlon Subtil
Dorini, Leyza Baldo
Vieira Neto, Hugo
Lopes, Heitor Silvério
Palavras-chave: Percepção facial
Percepção de padrões
Visão por computador
Face perception
Pattern perception
Computer vision
Data do documento: 2012
Câmpus: Curitiba
Citação: 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.
Abstract: 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.
URI: http://repositorio.utfpr.edu.br/jspui/handle/1/656
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