UIBVFED-Mask: A Dataset for Comparing Facial Expressions with and without Face Masks

Miquel Mascaró-Oliver, Ramon Mas-Sansó, Esperança Amengual-Alcover () and Maria Francesca Roig-Maimó
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Miquel Mascaró-Oliver: Department of Mathematics and Computer Science, University of the Balearic Islands, Ctra. de Valldemossa, Km. 7.5, 07122 Palma de Mallorca, Spain
Ramon Mas-Sansó: Department of Mathematics and Computer Science, University of the Balearic Islands, Ctra. de Valldemossa, Km. 7.5, 07122 Palma de Mallorca, Spain
Esperança Amengual-Alcover: Department of Mathematics and Computer Science, University of the Balearic Islands, Ctra. de Valldemossa, Km. 7.5, 07122 Palma de Mallorca, Spain
Maria Francesca Roig-Maimó: Department of Mathematics and Computer Science, University of the Balearic Islands, Ctra. de Valldemossa, Km. 7.5, 07122 Palma de Mallorca, Spain

Data, 2023, vol. 8, issue 1, 1-8

Abstract: After the COVID-19 pandemic the use of face masks has become a common practice in many situations. Partial occlusion of the face due to the use of masks poses new challenges for facial expression recognition because of the loss of significant facial information. Consequently, the identification and classification of facial expressions can be negatively affected when using neural networks in particular. This paper presents a new dataset of virtual characters, with and without face masks, with identical geometric information and spatial location. This novelty will certainly allow researchers a better refinement on lost information due to the occlusion of the mask.

Keywords: 3D graphics and realism; creative design; facial expression dataset; facial animation; face mask (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
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