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shixudongleo/AgeFaceRecognition
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1. run the code: in Main.m, execute each code section respectively 2. image and accuracy data are generated in /data/output folder 3. face dataset should be put in /data/AgeFaceDataset/ folder a brief introduction of the project code structure is give: -- data -- AgeFaceDataSet -- output -- train.txt -- test.txt -- src -- ReadData.m -- DisplayFace.m -- NFM.m -- PCA.m -- LDA.m -- GMM.m -- Main.m -- ReadData.m auxilary function for reading data. It can read data into data matrix. -- DisplayFace.m display feature vector as face \& rescale pixel value to 0-255. -- NFM.m learning Nonegative Matrix Factorization with 50 bases (bases can be reset, support random initialization) -- PCA.m do PCA decompostion and reconstruction, support choosing number of PCs -- LDA.m do LDA basis finding -- GMM.m finding GMM Model using EM algorithm -- Main.m All subtasks are organized into sections
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age-invariant face recognition
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