Robust face detection in cluttered images
In this thesis, we present a robust face detection algorithm in cluttered images. It is a system based on a novel feature extraction method that uses wavelet-based sub- kernel principal component analysis (SKPCA) method. Usually, facial features such as eyebrows, eyes, nose and mouth are distinguish...
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| Format: | Thesis |
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2008
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| Online Access: | https://hdl.handle.net/10356/4086 |