HOW to combine either of SURF features and HOG features or Gabor and HOG?
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I am working on Low resolution Face recognition with Occlusion handling. My question is in two folds:
Question 1. Which of the combination of feature extraction will work well on low resolution images with occlusion: Gabor and Histogram of Oriented Gradients (HOG), or SURF and HOG features when applied to other techniques to match the features.
Question 2. I want a code to combine either of these features for better results.