Face hallucination with application in far distance face recognition
| dc.contributor.author | Xu, Xiang | |
| dc.contributor.supervisor | Prof. Ling Li | |
| dc.contributor.supervisor | Assoc. Prof. Wanquan Liu | |
| dc.date.accessioned | 2017-01-30T10:15:21Z | |
| dc.date.available | 2017-01-30T10:15:21Z | |
| dc.date.created | 2014-09-08T03:57:03Z | |
| dc.date.issued | 2014 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/1931 | |
| dc.description.abstract |
In this thesis, faces captured in far distances are investigated. Face enhancement algorithms are studied. Hallucinating faces in holistic model and patch-based model are analysed respectively. The advantages and disadvantages of both models are discussed. An innovative holistic model and patch-based model are proposed separately. More investigation in practical surveillance environments are carried. And a new far face recognition model is proposed. Experiments demonstrate the improvement of proposed approaches. | |
| dc.language | en | |
| dc.publisher | Curtin University | |
| dc.title | Face hallucination with application in far distance face recognition | |
| dc.type | Thesis | |
| dcterms.educationLevel | PhD | |
| curtin.department | School of Electrical Engineering and Computing, Department of Computing | |
| curtin.accessStatus | Open access |