The computer expression recognition toolbox (CERT)
By Gwen Littlewort, J. Whitehill, Tingfan Wu, Ian R. Fasel, Mark G. Frank, Javier R. Movellan, M. Bartlett. Face and Gesture 2011, 2011
621 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/b638b5fd3cf2d1c4361ca5f8fc8f5c91a64a4e7b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Shiguang Shan
- Xilin Chen
- Ruiping Wang
- Sergio Escalera
- Luc Van Gool
- Mengyi Liu
- Hatice Gunes
- Ciprian Adrian Corneanu
In Experimental and Cognitive Psychology
- Hatice Gunes
- Björn Schuller
- Sergio Escalera
- Ciprian Adrian Corneanu
- Marc Oliu
- Xilin Chen
- Shiguang Shan
- C. Wrzus
In Human-Computer Interaction
- Björn Schuller
- Shiguang Shan
- Mengyi Liu
- Jeffrey F. Cohn
- Matthias R. Mehl
- Hatice Gunes
- Ruiping Wang
- Xilin Chen
Citations in the corpus
- Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition (2014, methodology): “3D SIFT [23] 81.35 HOE [27] 82.26 LBP-TOP [34] 88.99 HOG 3D [14] 91.44 ITBN [30] (15-fold) 86.3 CERT [17] 87.21 MCF [3] (LOSO) 89.4 MSR [21] 91.4 TMS [12] (4-fold) 91.89 Cov3D [22] (5-fold) 92.3 Ours STM 91.13 Ours STM-ExpLet 94.19 Table 1.”
- MACH: my automated conversation coach (2013, neutral): “CERT [4], another real-time behavior analysis system, was developed to recognize low-level facial features such as eyebrow raise and lip corner pull and graph them as a function of time.”
- Lab And/Or Field? Measuring Personality Processes and Their Social Consequences (2015, background): “Validation studies have shown high agreement with trained human coders (Terzis et al., 2010; Littlewort et al., 2011) and electromyographical recordings of facial muscles (D’Arcey, 2013).”
- Categorical and dimensional affect analysis in continuous input: Current trends and future directions (2013, methodology): “The Computer Expression Recognition Toolbox (CERT) [166] is a software tool for fully automatic real-time facial expression recognition”
- Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-related Applications (2016, background): “Some examples include Gabor filters [99], [100], LBP [97], [98], pyramids of histograms of gradients (PHOG) [93], [94], multi-scale dense SIFT (MSDF) [94] and local phase quantization (LPQ) [93].”
- Mood measurement with Pick-A-Mood: review of current methods and design of a pictorial self-report scale (2016, neutral): “Examples are the ‘Computer Expression Recognition Toolbox’ (CERT; Littlewort et al., 2011) and the FaceReader (see Terzis et al., 2010).”