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Feature Selection on 2D and 3D Geometric Features to Improve Facial Expression Recognition
An essential aspect in the interaction between people and computers is the recognition of facial expressions. A key issue in this process is to select relevant features to classify facial expressions accurately. This study examines the selection of optimal geometric features to classify six basic fa...
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| Опубликовано в: : | Sensors (Basel) |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7506644/ https://ncbi.nlm.nih.gov/pubmed/32867182 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20174847 |
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