- Tytuł:
- A Comparative Study between CS-LBP/SVM and CS-LBP/PCA in Facial Expression Recognition
- Autorzy:
- Gaur, Sheena
- Powiązania:
- https://bibliotekanauki.pl/articles/1075570.pdf
- Data publikacji:
- 2019
- Wydawca:
- Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
- Tematy:
-
Center symmetric local binary patterns (CS-LBP)
Facial Expression Analysis
Principal Component Analysis 9PCA)
Support Vector Machine (SVM) - Opis:
- Face plays significant role in social communication. This is a 'window' to human personality, emotions and thoughts. Due to this, face is a subject of study in many areas of science such as psychology, behavioral science, medicine and computer science etc. In this paper, a comparative study is suggested between CS-LBP/SVM and CS-LBP/PCA. These algorithms are used in emotive facial expression recognition. Finally, a comparison is shown between PCA & SVM in terms of Dimension Reduction. The proposed system uses grayscale frontal face images of a Japanese female to classify six basic emotions namely happiness, sadness, disgust, fear, surprise and anger.
- Źródło:
-
World Scientific News; 2019, 121; 83-89
2392-2192 - Pojawia się w:
- World Scientific News
- Dostawca treści:
- Biblioteka Nauki
Artykuł