Dynamic facial expression recognition using local patch and LBP-TOP
- Submitting institution
-
University of Portsmouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 15463617
- Type
- E - Conference contribution
- DOI
-
10.1109/HSI.2015.7170694
- Title of conference / published proceedings
- 2015 8th International Conference on Human System Interactions (HSI)
- First page
- 362
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- July
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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B - Computational Intelligence
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A novel fully automatic approach for facial expression recognition based on points registration, localized patch extraction and LBP-TOP is proposed. The method successfully addresses one of the main weaknesses of most appearance-based approaches, which is sensitivity to identity-related cues in training data.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -