Concatenate features for image classification
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Hello all,
If I want to concatenate features extracted from fully connected layer of a CNN with features extracted from a handcrafted feature extractor (ex : HOG), do I need to normalize these features befores concatenation?
For example: dimensions of vectores : FeaturesHOG (1*108900) and FeaturesCNN (1*4096)
Can I directly use Features = [FeaturesCNN, FeaturesHOG] to train a multiclass classifier (SVM) or should I follow other steps befor giving these features to the classifier ?
Thank you!!
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