Enhanced feature selections of Adaboost training for face detection using genetic algorithm
A wide variety of face detection techniques have been proposed over the past decades. Generally, a large number of features are required to be selected for training purposes. Often some of these features are irrelevant and do not contribute directly to the face detection techniques. This creates unn...
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| Format: | Thesis |
| Language: | English |
| Published: |
2007
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| Online Access: | http://eprints.utm.my/id/eprint/6427/1/ZalhanMohdZinMFKE2007.pdf http://eprints.utm.my/id/eprint/6427/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:62247 |
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