Authors:
Fares Al-Qunaieer
and
Mohamed Alkanhal
Affiliation:
King AbdulAziz City for Science and Technology (KACST), Saudi Arabia
Keyword(s):
Face Recognition, Partial Occlusion, Correlation Filters.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Biometrics
;
Biometrics and Pattern Recognition
;
Classification
;
Multimedia
;
Multimedia Signal Processing
;
Object Recognition
;
Pattern Recognition
;
Software Engineering
;
Telecommunications
;
Theory and Methods
Abstract:
Although face recognition methods in controlled environments have achieved high accuracy results, there
are still problems in real-life situations. Some of the challenges include changes in face expressions, pose,
lighting conditions or presence of occlusion. There were several efforts for tackling the occlusion problem,
mainly by learning discriminating features from non-occluded faces for occluded faces recognition. In this
paper, we propose the reversed process, to learn from the occluded faces for the purpose of non-occluded
faces recognition. This process has several useful applications, such as in suspects identification and person
re-identification. Correlation filters are constructed from training images (occluded faces) images of each
person, which are used later for the classification of input images (non-occluded faces). In addition, the use of
skin masks with the correlation filters is investigated.