BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database
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Evidence exists for concordance between subjective experience and FE of emotion.
“While not critical to an evolutionary account of emotion, evidence exists as well for concordance between subjective experience and FE of emotion [37], [38].”
From Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications (2016) · cites this paper as [38]
BP4D uses authentic emotion induction tasks to obtain spontaneous FEs.
“BP4D tries to address this issue with authentic emotion induction tasks [38].”
From Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications (2016) · cites this paper as [38]
The publication of FE datasets that include intensity labels of spontaneous expression in RGB and 3D facilitated intensity estimation.
“This was recently facilitated by the publication of FE datasets that include intensity labels of spontaneous expression in RGB [202] and 3D [38].”
From Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications (2016) · cites this paper as [38]
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- Authors
- Zhang, X., Yin, L., Cohn, J. F., Canavan, S., Reale, M., Horowitz, A., Liu, P., & Girard, J. M.
- Affiliations
- Binghamton University (US)
- University of Pittsburgh (US)
- Corresponding author
- Zhang, Xing
- Yin, Lijun
- Venue
- Image and Vision Computing
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 32
- Issue
- 10
- Pages
- 692-706
- ISSN
- 0262-8856 (ISSN-L)
- OpenAlex
- W2051297709
- Cited by
- 745
- References
- 58
- Citations by year
- 2026: 49 · 2025: 63 · 2024: 71 · 2023: 80 · 2022: 65 · 2021: 103 · 2020: 65 · 2019: 60 · 2018: 60 · 2017: 57 · 2016: 39 · 2015: 27 · 2014: 5
- FWCI
- 38.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Image and Vision Computing (publishedVersion)
- Funders
- National Science Foundation (IIS-1051103, IIS-1051169, CNS-1205664, CNS-1205195)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Keywords
- spontaneous facial expressions, facial expression database, facial action units, facial feature tracking, emotion induction, paralinguistic features, spatio-temporal features
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