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- W2391736242 abstract "A novel method based on the fusion of active appearance model(AAM) and local binary pattern(LBP) for face recognition was proposed.Firstly,we performed AAM to locate facial feature points,after cropping the texture in the facial region according to the shape mesh,the texture was sent to a NN(nearest-neighbor) classifier for recognition.Secondly,a weighted LBP was used to combine the features with various local facial regions(i.e.eyes,eyebrows,nose and mouth).Then these two features were matched to the most dose rules.Finally,we adopted fuzzy integration to fuse both the global texture and local LBP features and the final result was given.Experiments demonstrated the effectiveness and feasibility of our proposed method,which could combine the complementary information of global and local face images,and recognition was better than the classification performance of a single module." @default.
- W2391736242 created "2016-06-24" @default.
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- W2391736242 date "2010-01-01" @default.
- W2391736242 modified "2023-09-28" @default.
- W2391736242 title "Face recognition based on fusion of active appearance model and local binary pattern" @default.
- W2391736242 hasPublicationYear "2010" @default.
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