3D facial expression intensity measurement analysis
This study used 3D distance vector measurements as the facial feature to classify six basic expressions and the distance vectors are chosen based on Facial Action Coding System (FACS) component, facial action units (AUs). The statistical values are calculated and analyze to determine the AUs involve...
| Main Authors: | , , |
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| Format: | Proceeding |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/16462/ http://ir.unimas.my/id/eprint/16462/1/3D%20FACIAL%20EXPRESSION%20INTENSITY%20MEASUREMENT%20%28abstrak%29.pdf |
| _version_ | 1848838069510209536 |
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| author | Alicia, Cheong Chiek Ying Hamimah, Ujir Irwandi, Hipiny |
| author_facet | Alicia, Cheong Chiek Ying Hamimah, Ujir Irwandi, Hipiny |
| author_sort | Alicia, Cheong Chiek Ying |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | This study used 3D distance vector measurements as the facial feature to classify six basic expressions and the distance vectors are chosen based on Facial Action Coding System (FACS) component, facial action units (AUs). The statistical values are calculated and analyze to determine the AUs involved in facial expression and distance vectors to be taken into account to measure the intensity of each facial expression in a quantitative
manner. As a result, 14 facial points are classified as significant in facial expression classification. Those facial points are in the eye, eyebrow and mouth region only. This work reveals that it is not necessary to rely on all facial feature points in estimating facial expression intensity. For Sad expression, the random mean and standard deviation of distance measurements do not indicate which AU should be taken into account to classify this expression. |
| first_indexed | 2025-11-15T06:49:42Z |
| format | Proceeding |
| id | unimas-16462 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:49:42Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-164622022-09-15T01:12:14Z http://ir.unimas.my/id/eprint/16462/ 3D facial expression intensity measurement analysis Alicia, Cheong Chiek Ying Hamimah, Ujir Irwandi, Hipiny QM Human anatomy T Technology (General) This study used 3D distance vector measurements as the facial feature to classify six basic expressions and the distance vectors are chosen based on Facial Action Coding System (FACS) component, facial action units (AUs). The statistical values are calculated and analyze to determine the AUs involved in facial expression and distance vectors to be taken into account to measure the intensity of each facial expression in a quantitative manner. As a result, 14 facial points are classified as significant in facial expression classification. Those facial points are in the eye, eyebrow and mouth region only. This work reveals that it is not necessary to rely on all facial feature points in estimating facial expression intensity. For Sad expression, the random mean and standard deviation of distance measurements do not indicate which AU should be taken into account to classify this expression. 2017 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/16462/1/3D%20FACIAL%20EXPRESSION%20INTENSITY%20MEASUREMENT%20%28abstrak%29.pdf Alicia, Cheong Chiek Ying and Hamimah, Ujir and Irwandi, Hipiny (2017) 3D facial expression intensity measurement analysis. In: Proceedings of the 6th International Conference on Computing and Informatics, ICOCI 2017, 25-27April, 2017, Universiti Utara Malaysia. http://www.icoci.cms.net.my/icoci2017/ |
| spellingShingle | QM Human anatomy T Technology (General) Alicia, Cheong Chiek Ying Hamimah, Ujir Irwandi, Hipiny 3D facial expression intensity measurement analysis |
| title | 3D facial expression intensity measurement analysis |
| title_full | 3D facial expression intensity measurement analysis |
| title_fullStr | 3D facial expression intensity measurement analysis |
| title_full_unstemmed | 3D facial expression intensity measurement analysis |
| title_short | 3D facial expression intensity measurement analysis |
| title_sort | 3d facial expression intensity measurement analysis |
| topic | QM Human anatomy T Technology (General) |
| url | http://ir.unimas.my/id/eprint/16462/ http://ir.unimas.my/id/eprint/16462/ http://ir.unimas.my/id/eprint/16462/1/3D%20FACIAL%20EXPRESSION%20INTENSITY%20MEASUREMENT%20%28abstrak%29.pdf |