sustaining_gazes/matlab_version/AU_training/instructions.txt

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1. First compile the C++ models to be able to extract the features
2. Extract features using scripts in the "data extraction" folder, this allows to build a PCA subspace for HOGs that is relevant to faces and facial expressions
- run all of the extract_features_*.m scripts
- this will take some time: 4-20 hours depending on your machine as you will need to process a lot of visual data
- you need to make sure you have the right datasets and they are in the right locations
2016-06-14 23:55:16 +02:00
- Note for Bosphorus you will need to change the code a bit and add face_model.Reset(); after frame_count++ line in FeatureExtraction.cpp (this is because the images are not from a video and are quite far from each other).
Create a PCA model