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. Author manuscript; available in PMC: 2021 Jun 28.
Published in final edited form as: IEEE Trans Signal Process. 2018 Apr 6;66(12):3124–3139. doi: 10.1109/tsp.2018.2824286

Fig. 5.

Fig. 5

(a) Illustration of the sparse FR process. A query face is down-sample to obtain an observation y. Using the training dictionary Φ, a sparse solution is obtained using R-SBL variants and baseline solvers to satisfy y = Φx. The index that corresponds to the maximum value in x is used to select a corresponding column from Φ. This corresponds to the correct individual. (b) FR accuracy for different feature sizes using all test samples. R-SBL GAMP enjoys better FR performance for different feature sizes.