The DOI matches its Crossref record; 24 of the 25 references it cites were found in a registry or an index.
FERA 2015 - second Facial Expression Recognition and Analysis challenge
Abstract
Despite efforts towards evaluation standards in facial expression analysis (e.g. FERA 2011), there is a need for up-to-date standardised evaluation procedures, focusing in particular on current challenges in the field. One of the challenges that is actively being addressed is the automatic estimation of expression intensities. To continue to provide a standardisation platform and to help the field progress beyond its current limitations, the FG 2015 Facial Expression Recognition and Analysis challenge (FERA 2015) will challenge participants to estimate FACS Action Unit (AU) intensity as well as AU occurrence on a common benchmark dataset with reliable manual annotations. Evaluation will be done using a clear and well-defined protocol. In this paper we present the second such challenge in automatic recognition of facial expressions, to be held in conjunction with the 11 IEEE conference on Face and Gesture Recognition, May 2015, in Ljubljana, Slovenia. Three sub-challenges are defined: the detection of AU occurrence, the estimation of AU intensity for pre-segmented data, and fully automatic AU intensity estimation. In this work we outline the evaluation protocol, the data used, and the results of a baseline method for the three sub-challenges.
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“As a consequence the Facial Expression and Recognition (FERA) challenge added a special section for intensity estimation [231], [232].”
From Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications (2016) · cites this paper as [232]
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OpenFace: An open source facial behavior analysis toolkit
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Metadata
- Authors
- Valstar, M. F., Almaev, T., Girard, J. M., McKeown, G., Mehu, M., Yin, L., Pantic, M., & Cohn, J. F.
- Affiliations
- University of Nottingham (GB)
- University of Pittsburgh (US)
- Queen's University Belfast (GB)
- Binghamton University (US)
- Venue
- 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
- Publisher
- IEEE
- Published
- 2015-05
- Pages
- 1-8
- ISSN
- 1541-5058 (ISSN-L)
- OpenAlex
- W1655469623
- Cited by
- 252
- References
- 25
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 12 · 2023: 7 · 2022: 11 · 2021: 31 · 2020: 17 · 2019: 39 · 2018: 32 · 2017: 41 · 2016: 33 · 2015: 19
- FWCI
- 55.51
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Automatic Face and Gesture Recognition (publishedVersion)
- Research Portal (Queen's University Belfast) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Keywords
- facial expression recognition, facial expression analysis, action unit detection, benchmark dataset, evaluation protocol
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