Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/355117
Type: Artigo
Title: Down syndrome detection based on facial features using a geometric descriptor
Author: Cornejo, Jadisha Yarif Ramírez
Pedrini, Helio
Machado-Lima, Ariane
Nunes, Fátima de Lourdes dos Santos
Abstract: Down syndrome is one of the most common genetic disorders caused by chromosome abnormalities in humans. Among other physical characteristics, certain facial features are typically associated in people with Down syndrome. We investigate the problem of Down syndrome detection from a collection of face images. As the main contribution, a compact geometric descriptor is used to extract facial features from the images. Experiments are conducted on an available dataset to demonstrate the performance of the proposed methodology
Subject: Down, Síndrome de
Country: Estados Unidos
Editor: SPIE
Rights: Fechado
Identifier DOI: 10.1117/1.JMI.4.4.044008
Address: https://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-4/issue-4/044008/Down-syndrome-detection-based-on-facial-features-using-a-geometric/10.1117/1.JMI.4.4.044008.short
Date Issue: 2017
Appears in Collections:IMECC - Artigos e Outros Documentos

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