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Name (Institute + Shorttitle) | Facial Expression Research Group Database (FERG-DB), University of Washington, Seattle |
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Description (include details on usage, files and paper references) | FERG-DB is a database of stylized characters with annotated facial expressions. The database contains multiple face images of six stylized characters. The characters were modelled using the MAYA software and rendered out in 2D to create the images. The images for each character is grouped into seven types of expressions - anger, disgust, fear, joy, neutral, sadness and surprise.
Details about this database can be found in our paper :
Modeling Stylized Character Expressions via Deep Learning.
Deepali Aneja , Alex Colburn , Gary Faigin , Linda Shapiro , and Barbara Mones,
ACCV 2016
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URL Link | http://grail.cs.washington.edu/projects/deepexpr/ferg-db.html |
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Files (#) | 55767 |
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References (SKIPPED) | 0 |
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Category (SKIPPED) | Facial expressions, Animation, Stylization |
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Tags (single words, spaced) | Face, Facial expression, Animation, Stylization, annotation emotion, deep learning, anger, sad, joy, disgust, surprise, neutral, fear, cardinal classification, human transfer, image retrieval |
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Last Changed | 2024-03-19 |
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Turing (2.12+3.25=?) :-) | |
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