Face Recognition and Detection
by Xiao Li
Face recognition
Average face
Top 10 eigenfaces
Recognition correctness of 33 faces
Plot: Correctness vs. # of eigenfaces
Analysis:
The recognition correctness goes up quickly as the number of eigenfaces increases from 1 t o 5. It fluctuates between and 5 and 19 and stay flat after 21. More number of eigenfaces means more computation. In fact, the eigenfaces with low eigenvalues are trivial in the discriminality and hence can be ingored. 11 eigenfaces is a good choice in this sense.
Face Detection
Given a picture of portrait, detect the face automatically and extract the face out.
is cropped as
with parameters min_scale = 0.45, max_scale 0.55, step = 0.01
is
cropped as
with parameters min_scale = 0.18, max_scale 0.24, step= 0.01
with parameters min_scale = 0.95, max_scale 1.15, step = 0.01
with parameters min_scale = 0.80, max_scale 1.0, step = 0.01