Authors:
Sanghun Lee
1
;
Soochang Kim
2
;
Young-hoon Kim
2
and
Chulhee Lee
1
Affiliations:
1
Yonsei University, Korea, Republic of
;
2
Electronics and Telecommunications Research Institute, Korea, Republic of
Keyword(s):
Binary Image, Difference of Gaussian, Face Recognition, Image Registration, Link Selection, Scale Pyramid.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Features Extraction
;
Image and Video Analysis
Abstract:
A face recognition system which utilizes binary facial images and a bitwise similarity calculation method is proposed for link selection between mobile devices. As a pre-processing step, normalized differences of Gaussian and facial region estimation were used to handle illumination conditions. Binary images were used to extract facial feature sets that did not exceed 700 bytes. Scale pyramids and XNOR+AND similarity scores were used for fast feature matching between reference data sets and pre-processed test data. The proposed method achieved about an 85.9% recognition rate with a database that consisted of 135 facial images with various head poses, obtained by enrolling one reference data set per subject.