DocumentCode
531812
Title
The MUG facial expression database
Author
Aifanti, Niki ; Papachristou, Christos ; Delopoulos, Anastasios
Author_Institution
Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
fYear
2010
fDate
12-14 April 2010
Firstpage
1
Lastpage
4
Abstract
This paper presents a new extended collection of posed and induced facial expression image sequences. All sequences were captured in a controlled laboratory environment with high resolution and no occlusions. The collection consists of two parts: The first part depicts eighty six subjects performing the six basic expressions according to the “emotion prototypes” as defined in the Investigator´s Guide in the FACS manual. The second part contains the same subjects recorded while they were watching an emotion inducing video. Most of the database recordings are available to the scientific community. Beyond the emotion related annotation the database contains also manual and automatic annotation of 80 facial landmark points for a significant number of frames. The database contains sufficient material for the development and the statistical evaluation of facial expression recognition systems using posed and induced expressions.
Keywords
emotion recognition; face recognition; hidden feature removal; image resolution; image sequences; pose estimation; statistical analysis; visual databases; MUG facial expression database; automatic annotation; controlled laboratory environment; database recordings; emotion prototypes; emotion related annotation; facial expression image sequences; facial expression recognition systems; facial landmark points; high resolution; induced expressions; manual annotation; occlusions; posed expressions; scientific community; statistical evaluation; Databases; Face; Face recognition; Image sequences; Labeling; Manuals; Three dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis for Multimedia Interactive Services (WIAMIS), 2010 11th International Workshop on
Conference_Location
Desenzano del Garda
Print_ISBN
978-1-4244-7848-4
Electronic_ISBN
978-88-905328-0-1
Type
conf
Filename
5617662
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