%0 Conference Proceedings
%T Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation: Databases
%A Iiris Lusi
%A Julio C. S. Jacques Junior
%A Jelena Gorbova
%A Xavier Baro
%A Sergio Escalera
%A Hasan Demirel
%A Juri Allik
%A Cagri Ozcinar
%A Gholamreza Anbarjafari
%B 12th IEEE International Conference on Automatic Face and Gesture Recognition
%D 2017
%F Iiris Lusi2017
%O HUPBA; no menciona
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2924), last updated on Tue, 20 Sep 2022 15:17:09 +0200
%X In this work two databases for the Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation1 are introduced. Head pose estimation paired with and detailed emotion recognition have become very important in relation to human-computer interaction. The 3D head pose database, SASE, is a 3D database acquired with Microsoft Kinect 2 camera, including RGB and depth information of different head poses which is composed by a total of 30000 frames with annotated markers, including 32 male and 18 female subjects. For the dominant and complementary emotion database, iCVMEFED, includes 31250 images with different emotions of 115 subjects whose gender distribution is almost uniform. For each subject there are 5 samples. The emotions are composed by 7 basic emotions plus neutral, being defined as complementary and dominant pairs. The emotion associated to the images were labeled with the support of psychologists.
%U http://dx.doi.org/10.1109/FG.2017.102