Facial semantic descriptors based on information granules
In this paper, we investigate a granular data description for facial components in which a characterization of facial components is presented by a collection of information granules. Firstly, the facial landmark detector is utilized to extract facial components automatically. Secondly, semantic conc...
| Main Authors: | , , , , |
|---|---|
| Format: | Journal Article |
| Published: |
Elsevier Inc
2019
|
| Online Access: | http://hdl.handle.net/20.500.11937/73860 |
| _version_ | 1848763117445578752 |
|---|---|
| author | Ren, Y. Guan, W. Liu, Wan-Quan Xi, J. Zhu, L. |
| author_facet | Ren, Y. Guan, W. Liu, Wan-Quan Xi, J. Zhu, L. |
| author_sort | Ren, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we investigate a granular data description for facial components in which a characterization of facial components is presented by a collection of information granules. Firstly, the facial landmark detector is utilized to extract facial components automatically. Secondly, semantic concepts are formed by involving various mechanisms of fuzzy clustering based on these detected landmarks. A collection of numeric prototypes can be sought as a blueprint of the descriptors. Consequently, the information granules are being formed around the prototypes that are engaged by the fundamental ideas of Granular Computing, especially the principle of justifiable granularity. Multiple experiments on Multi-PIE facial database illustrate the proposed facial semantic descriptors based on information granules not only can characterize the key semantics of facial components of data, but also can improve the semantic classification performance in comparison with human perception. |
| first_indexed | 2025-11-14T10:58:22Z |
| format | Journal Article |
| id | curtin-20.500.11937-73860 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:58:22Z |
| publishDate | 2019 |
| publisher | Elsevier Inc |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-738602019-08-22T03:41:49Z Facial semantic descriptors based on information granules Ren, Y. Guan, W. Liu, Wan-Quan Xi, J. Zhu, L. In this paper, we investigate a granular data description for facial components in which a characterization of facial components is presented by a collection of information granules. Firstly, the facial landmark detector is utilized to extract facial components automatically. Secondly, semantic concepts are formed by involving various mechanisms of fuzzy clustering based on these detected landmarks. A collection of numeric prototypes can be sought as a blueprint of the descriptors. Consequently, the information granules are being formed around the prototypes that are engaged by the fundamental ideas of Granular Computing, especially the principle of justifiable granularity. Multiple experiments on Multi-PIE facial database illustrate the proposed facial semantic descriptors based on information granules not only can characterize the key semantics of facial components of data, but also can improve the semantic classification performance in comparison with human perception. 2019 Journal Article http://hdl.handle.net/20.500.11937/73860 10.1016/j.ins.2018.11.056 Elsevier Inc restricted |
| spellingShingle | Ren, Y. Guan, W. Liu, Wan-Quan Xi, J. Zhu, L. Facial semantic descriptors based on information granules |
| title | Facial semantic descriptors based on information granules |
| title_full | Facial semantic descriptors based on information granules |
| title_fullStr | Facial semantic descriptors based on information granules |
| title_full_unstemmed | Facial semantic descriptors based on information granules |
| title_short | Facial semantic descriptors based on information granules |
| title_sort | facial semantic descriptors based on information granules |
| url | http://hdl.handle.net/20.500.11937/73860 |