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Cited by 539

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

The computer expression recognition toolbox (CERT)

Littlewort, Gwen, Whitehill, Jacob, Wu, Tingfan, Fasel, Ian, Frank, Mark, Movellan, Javier, Bartlett, Marian·2011·Face and Gesture 2011
DOI 10.1109/fg.2011.5771414
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Abstract

We present the Computer Expression Recognition Toolbox (CERT), a software tool for fully automatic real-time facial expression recognition, and officially release it for free academic use. CERT can automatically code the intensity of 19 different facial actions from the Facial Action Unit Coding System (FACS) and 6 different prototypical facial expressions. It also estimates the locations of 10 facial features as well as the 3-D orientation (yaw, pitch, roll) of the head. On a database of posed facial expressions, Extended Cohn-Kanade (CK+[1]), CERT achieves an average recognition performance (probability of correctness on a two-alternative forced choice (2AFC) task between one positive and one negative example) of 90.1% when analyzing facial actions. On a spontaneous facial expression dataset, CERT achieves an accuracy of nearly 80%. In a standard dual core laptop, CERT can process 320 × 240 video images in real time at approximately 10 frames per second.

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Research works printed but not linked: 23

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Metadata

Authors
Littlewort, G., Whitehill, J., Wu, T., Fasel, I., Frank, M., Movellan, J., & Bartlett, M.
Venue
Face and Gesture 2011
Publisher
IEEE
Published
2011-03
Pages
298-305
DOI
10.1109/fg.2011.5771414
OpenAlex
W1968600824
Cited by
539
References
5
FWCI
57.75
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: The computer expression recognition toolbox (CERT). https://app.cochat.ai/papers/10.1109/fg.2011.5771414
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Littlewort, G., Whitehill, J., Wu, T., Fasel, I., Frank, M., Movellan, J., & Bartlett, M. (2011). The computer expression recognition toolbox (CERT). Face and Gesture 2011. https://doi.org/10.1109/fg.2011.5771414

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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