Improving the Recognition of Occluded Faces by Means of Two-dimensional Orthogonal Projection into Local Subspaces.

Pawel Forczmanski Piotr Labedz

Published in: ICIAR (2015)

Keyphrases

orthogonal projection
partially occluded
three dimensional
object recognition
hilbert space
face recognition
feature extraction
pattern recognition
multi dimensional
data sets
face images
high dimensional data
feature vectors
principal component analysis
low dimensional
object tracking