Figure 4
From: Explore semantic pixel sets based local patterns with information entropy for face recognition
The flowchart of the semantic pixel set-based local patterns using information entropy. This figure describes the complete flowchart of the proposed method. First, a face image is coarsely divided into a few blocks of a given size. With the learned number of pixel sets for each face block according to the information entropy, pixels are re-grouped to different sets according to their semantic meaning. Histograms of local patterns are then extracted from each set. Finally, all features are concatenated together and enhanced by the WPCA method.