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dc.contributor.authorXu, Xiang
dc.contributor.supervisorProf. Ling Li
dc.contributor.supervisorAssoc. Prof. Wanquan Liu

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.publisherCurtin University
dc.titleFace hallucination with application in far distance face recognition
curtin.departmentSchool of Electrical Engineering and Computing, Department of Computing
curtin.accessStatusOpen access

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