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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Xiang, Tuo Wen | en |
dc.date.accessioned | 2011-12-27T08:25:13Z | en |
dc.date.available | 2011-12-27T08:25:13Z | en |
dc.date.copyright | 2009 | en |
dc.date.issued | 2009 | en |
dc.identifier.citation | Xiang, T. W. (2009). Facial expression recognition in the spatio-temporal domain. Doctoral thesis, Nanyang Technological University, Singapore. | en |
dc.identifier.uri | https://hdl.handle.net/10356/47476 | en |
dc.description | 144 p. | en |
dc.description.abstract | In recent years, automatic Facial Expression Recognition (FER) has been extensively studied and has gained much research interest due to its many useful applications. However, to the best of our knowledge, the proposed algorithms all suffer from some limitations, which make the systems work inaccurately and unstably in the real scenaros. In this thesis, we aim to propose and investigate a full automatic system to give effective and accurate classification of facial expressions. | en |
dc.rights | Nanyang Technological University | en |
dc.subject | DRNTU::Engineering::Computer science and engineering::Computer applications | en |
dc.title | Facial expression recognition in the spatio-temporal domain | en |
dc.type | Thesis | en |
dc.contributor.supervisor | Leung Karhang, Maylor | en |
dc.contributor.school | School of Computer Engineering | en |
dc.description.degree | DOCTOR OF PHILOSOPHY (SCE) | en |
dc.identifier.doi | 10.32657/10356/47476 | en |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
Appears in Collections: | SCSE Theses |
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File | Description | Size | Format | |
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SCE_THESES_19.pdf | 15.84 MB | Adobe PDF | View/Open |
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