Spatio-temporal framework and algorithms for video-based face recognition
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...
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| Format: | Thesis |
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2014
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| Summary: | 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. |
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