Paper Info
Title
Face recognition of near-infrared images for interactive smart TV
Abstract
In this paper, a face recognition system which can be applied to an interactive smart TV Control System is proposed. Face Recognition system using near-infrared (NIR) face images is developed because NIR images can be captured in a somewhat dark environment. The face recognition system consists of three subsystems. The first is for the registration of the user's face and the second is for the detection of the user's face. The final subsystem is for the recognition of the user via the user's face. The face recognition system is used with a interactive smart TV in order to provide personalized services such as the selection of favorite channels or parental guidance. To detect a face, we extract Uniform Local Binary Patterns (ULBP) histogram features in NIR face images and use Support Vector Machine (SVM) as a classifier. To recognize a face, we extract local Gabor binary pattern histogram sequences (LGBPHS) and compare faces using a chi-square distance measure. The experiments show the global recognition accuracy is about 97% by using our NIR face database.
Year
DOI
Venue
2012
10.1145/2425836.2425902
IVCNZ
Keywords
Field
DocType
face image,global recognition accuracy,nir face database,face recognition system,nir face image,interactive smart tv control,nir image,near-infrared image,interactive smart tv,histogram sequence,histogram feature,local binary patterns,face recognition
Histogram,Facial recognition system,Computer vision,Binary pattern,Object-class detection,Three-dimensional face recognition,Pattern recognition,Computer science,Local binary patterns,Gabor filter,Artificial intelligence,Face detection
Conference
Citations 
PageRank 
References 
2
0.37
5
Authors
5
Name
Order
Citations
PageRank
Sang-Heon Lee110522.48
Myoung-Kyu Sohn2337.17
Dong-Ju Kim36511.80
Byungmin Kim4232.90
Hyunduk Kim54910.91