12 December 2017 Down syndrome detection based on facial features using a geometric descriptor
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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.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Jadisha Yarif Ramírez Cornejo, Helio Pedrini, Ariane Machado-Lima, Fátima de Lourdes dos Santos Nunes, "Down syndrome detection based on facial features using a geometric descriptor," Journal of Medical Imaging 4(4), 044008 (12 December 2017). https://doi.org/10.1117/1.JMI.4.4.044008 . Submission: Received: 2 May 2017; Accepted: 20 November 2017
Received: 2 May 2017; Accepted: 20 November 2017; Published: 12 December 2017
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