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Cited by 458

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Recognizing human facial expressions from long image sequences using optical flow

Yacoob, Y., Davis, L.S.·1996·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

An approach to the analysis and representation of facial dynamics for recognition of facial expressions from image sequences is presented. The algorithms utilize optical flow computation to identify the direction of rigid and nonrigid motions that are caused by human facial expressions. A mid-level symbolic representation motivated by psychological considerations is developed. Recognition of six facial expressions, as well as eye blinking, is demonstrated on a large set of image sequences.

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Metadata

Authors
Yacoob, Y., & Davis, L. S.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
1996-06
Volume
18
Issue
6
Pages
636-642
ISSN
0162-8828 (ISSN-L)
OpenAlex
W2168341643
Cited by
458
References
1
FWCI
6.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recognizing human facial expressions from long image sequences using optical flow. https://app.cochat.ai/papers/10.1109/34.506414
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Yacoob, Y., & Davis, L. S. (1996). Recognizing human facial expressions from long image sequences using optical flow. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.506414

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.