Scoring facial attractiveness with deep convolutional neural networks: How training on standardized images reduces the bias of facial expressions.

Obwegeser, Dorothea; Timofte, Radu; Mayer, Christoph; Bornstein, Michael M; Schätzle, Marc A; Patcas, Raphael

Obwegeser, Dorothea; Timofte, Radu; Mayer, Christoph; Bornstein, Michael M; Schätzle, Marc A; Patcas, Raphael.

Afiliación

Obwegeser D; Clinic of Orthodontics and Pediatric Dentistry, Center of Dental Medicine, University of Zurich, Zurich, Switzerland.
Timofte R; Computer Vision Laboratory, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland.
Mayer C; CAIDAS and Institute of Computer Science, Faculty of Mathematics and Computer Science, University of Wurzburg, Wurzburg, Germany.
Bornstein MM; Computer Vision Laboratory, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland.
Schätzle MA; Department of Oral Health & Medicine, University Center for Dental Medicine Basel UZB, University of Basel, Basel, Switzerland.
Patcas R; Clinic of Orthodontics and Pediatric Dentistry, Center of Dental Medicine, University of Zurich, Zurich, Switzerland.

Orthod Craniofac Res ; 2024 Jun 02.

Article en En | MEDLINE | ID: mdl-38825845

Palabras clave

artificial intelligence; deep convolutional neural networks; emotions; facial attractiveness; facial expressions

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Orthod Craniofac Res Asunto de la revista: ODONTOLOGIA / ORTODONTIA Año: 2024 Tipo del documento: Article País de afiliación: Suiza

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google