Presentation and validation of the Radboud Faces Database

Presentation and validation of the Radboud Faces Database

2010 | Langner, O.; Dotsch, R.; Bijlstra, G.; Wigboldus, D.H.J.; Hawk, S.T.; Knippenberg, A.F.M. van
The article presents the Radboud Faces Database (RaFD), a comprehensive set of Caucasian face images that vary in facial expression, gaze direction, and head orientation. The database includes both adult and child models, with each model displaying eight facial expressions and three gaze directions from five different camera angles. The images were taken in a highly controlled environment, ensuring standardized technical aspects such as facial landmark positions, lighting conditions, and image background. A validation study was conducted to assess the quality of the database. Participants rated the frontal images for facial expression, intensity, clarity, genuineness, attractiveness, and valence. The results showed high recognition of the intended facial expressions, with an overall agreement rate of 82%. The agreement was particularly high for happiness and lower for contempt, which is consistent with its less universal recognition across cultures. The database provides a valuable resource for researchers studying face processing, emotion, and social cognition, offering a wide range of stimuli with controlled technical features.The article presents the Radboud Faces Database (RaFD), a comprehensive set of Caucasian face images that vary in facial expression, gaze direction, and head orientation. The database includes both adult and child models, with each model displaying eight facial expressions and three gaze directions from five different camera angles. The images were taken in a highly controlled environment, ensuring standardized technical aspects such as facial landmark positions, lighting conditions, and image background. A validation study was conducted to assess the quality of the database. Participants rated the frontal images for facial expression, intensity, clarity, genuineness, attractiveness, and valence. The results showed high recognition of the intended facial expressions, with an overall agreement rate of 82%. The agreement was particularly high for happiness and lower for contempt, which is consistent with its less universal recognition across cultures. The database provides a valuable resource for researchers studying face processing, emotion, and social cognition, offering a wide range of stimuli with controlled technical features.
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