Databases
- 3DFAW Video-Challenge Training Data
- Binghamton-Pittsburgh 4D – BP4D, BP4D+, and EB+
- Cohn-Kanade and CK+ (for requests: Agree.doc or Agree.pdf)
- CMU Multi-PIE
- Denver Intensity of Spontaneous Facial Actions (DISFA)
- Depression Severity Interviews (unavailable)
- Supplement to Pollak et al. (2009)
- FERA 2015 train, development, and test partitions
- Sayette Group Formation Task
- UNBC-McMaster Shoulder Pain Expression Archive is no longer available.
- Affectiva-MIT Facial Expression Dataset
Software
- PyAFAR is a Python-based, open-source facial action unit detection library for use with adults and infants. For an introduction to PyAFAR and understanding the Facial Affect Coding System (FACS).
- ZFace
- PAttNet learns mappings of patches and AUs, controls for 3D head and face rotation, and exploits co-occurrence among AUs for more precise AU detection.
- DARMA: Dual Axis Rating and Media Annotation
- CARMA: Continuous Rating and Media Annotation
- mReliability: Master Inter-Observer Reliability
- Performance Metrics for Imbalanced Data
- Early Event Detection
Patents
- A system and method for processing video to provide facial de-identification. US9799096B1 issued October 24, 2017.
- Self-adaptive matrix completion for heart rate estimation from face videos. US20170367590A1 issued July 2, 2019.
- Data processing methods for predictions of media content performance. US20180158093A1 pending July 29, 2019.
-
Image synthesis for personalized facial expression classification. Google Patents. (US Patent App. 17/392,077) (Japan JP2022117978A).
- Image Normalization for Facial Analysis. U.S. Patent App. 11244206.