Citation
See, John Su Yang (2014) Spatio-temporal framework and algorithms for video-based face recognition. PhD thesis, Multimedia University. Full text not available from this repository.
Official URL: http://library.mmu.edu.my/diglib/onlinedb/dig_lib....
Abstract
The objective of this research is to devise algorithms for video-based face recognition based on spatio-temporal manifolds. The primary focus is to better represent nonlinear face patterns on a data manifold, while incorporating spatio-temporal information that is inherent in videos. In addition, a systematic approach to evaluate sampling is also crucial as current experimental setups are inadequate to provide balanced evaluation. These goals are inspired by motivations from computer vision, psychology and cognitive neuroscience.
| Item Type: | Thesis (PhD) |
|---|---|
| Additional Information: | Call No.: TA1650 S44 2014 |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics |
| Divisions: | Faculty of Computing and Informatics (FCI) |
| Depositing User: | Ms Nurul Iqtiani Ahmad |
| Date Deposited: | 23 Feb 2015 09:24 |
| Last Modified: | 30 Jun 2015 09:06 |
| URII: | http://shdl.mmu.edu.my/id/eprint/5988 |
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