dc.contributor.authorHuang, Likun
dc.date.accessioned2014-11-04T01:45:57Z
dc.date.accessioned2017-07-23T08:35:33Z
dc.date.available2014-11-04T01:45:57Z
dc.date.available2017-07-23T08:35:33Z
dc.date.copyright2014en_US
dc.date.issued2014
dc.identifier.citationHuang, L. (2014). Face recognition based on image sets. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/61822
dc.description.abstractIn this thesis, we study the problem of face recognition based on image sets. The main objective of our work is to develop set-based distance metrics that are able to measure the similarity between image sets, rather than conventional distance metrics that can only measure the distance between samples. The face images obtained from real-life impose great challenges to the conventional face recognition systems. Large variations in appearances and various imperfections such as occlusions and misalignments in the face images severely degrade the recognition performance. One possible solution is to utilize more face images for each person, e.g., a collection of photos from personal galleries or frames extracted from a video clip. Under such circumstances, the face recognition task becomes the process of modelling and matching image sets. Our investigation then focuses on developing appropriate models and set-based distance metrics for representing different image sets.en_US
dc.format.extent168 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Bioengineeringen_US
dc.titleFace recognition based on image setsen_US
dc.typeThesis
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.supervisorTan Yap Pengen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (EEE)en_US


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