McDuff et al., 2013 - Google Patents
Affectiva-mit facial expression dataset (am-fed): Naturalistic and spontaneous facial expressions collectedMcDuff et al., 2013
View PDF- Document ID
- 905493499365449563
- Author
- McDuff D
- Kaliouby R
- Senechal T
- Amr M
- Cohn J
- Picard R
- Publication year
- Publication venue
- Proceedings of the IEEE conference on computer vision and pattern recognition workshops
External Links
Snippet
Computer classification of facial expressions requires large amounts of data and this data needs to reflect the diversity of conditions seen in real applications. Public datasets help accelerate the progress of research by providing researchers with a benchmark resource …
- 230000001815 facial 0 title abstract description 52
Classifications
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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