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Face recognition of near-infrared images for interactive smart TV

Title
Face recognition of near-infrared images for interactive smart TV
Authors
Lee, Sang-HeonSohn, Myoung-KyuKim, Dong-JuKim, ByungminKim, Hyunduk
DGIST Authors
Lee, Sang-Heon; Sohn, Myoung-Kyu; Kim, Dong-Ju; Kim, Byungmin; Kim, Hyunduk
Issue Date
2012
Citation
27th Image and Vision Computing New Zealand Conference, IVCNZ 2012, 335-339
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
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. © 2012 ACM.
URI
http://hdl.handle.net/20.500.11750/3857
DOI
10.1145/2425836.2425902
Publisher
Association for Computing Machinery
Related Researcher
Files:
There are no files associated with this item.
Collection:
ETC2. Conference Papers


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