Automatic classification of human facial features based on their appearance

Media type: E-Article

Title: Automatic classification of human facial features based on their appearance

Contributor: Alcañiz Raya, Mariano Luis [VerfasserIn]; Naranjo Ornedo, Valeriana [VerfasserIn]; Fuentes-Hurtado, Felix [VerfasserIn]; Diego-Mas, Jose Antonio [VerfasserIn]

imprint: 2019

Language: English

DOI: 10.1371/journal.pone.0211314

ISSN: 1932-6203

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Origination:

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Description: [EN] Classification or typology systems used to categorize different human body parts have existed for many years. Nevertheless, there are very few taxonomies of facial features. Ergonomics, forensic anthropology, crime prevention or new human-machine interaction systems and online activities, like e-commerce, e-learning, games, dating or social networks, are fields in which classifications of facial features are useful, for example, to create digital interlocutors that optimize the interactions between human and machines. However, classifying isolated facial features is difficult for human observers. Previous works reported low inter-observer and intra-observer agreement in the evaluation of facial features. This work presents a computer-based procedure to automatically classify facial features based on their global appearance. 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