The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
A Survey on Human Face Expression Recognition Techniques
Open accessAbstract
Human Face expression Recognition is one of the most powerful and challenging tasks in social communication. Generally, face expressions are natural and direct means for human beings to communicate their emotions and intentions. Face expressions are the key characteristics of non-verbal communication. This paper describes the survey of Face Expression Recognition (FER) techniques which include the three major stages such as preprocessing, feature extraction and classification. This survey explains the various types of FER techniques with its major contributions. The performance of various FER techniques is compared based on the number of expressions recognized and complexity of algorithms. Databases like JAFFE, CK, and some other variety of facial expression databases are discussed in this survey. The study on classifiers gather from recent papers reveals a more powerful and reliable understanding of the peculiar characteristics of classifiers for research fellows.
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Facial Expression Recognition Using Facial Movement Features
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Local Directional Ternary Pattern for Facial Expression Recognition
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Cited by
Muhammad, F., Hussain, M., & Aboalsamh, H. (2023) · Diagnostics · doi:10.3390/diagnostics13050977 · Cited by 36
Metadata
- Authors
- Revina, I. M., & Emmanuel, W. R. S.
- Venue
- Journal of King Saud University - Computer and Information Sciences
- Published
- 2021-07
- Volume
- 33
- Issue
- 6
- Pages
- 619-628
- ISSN
- 1319-1578 (ISSN-L)
- OpenAlex
- W2891399311
- Cited by
- 325
- References
- 43
- FWCI
- 23.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
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