@inproceedings{077dcd58fa3e4b48800b271af4b464f7,
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.",
keywords = "Gabor filter, eye detection, face recognition, interactive smart TV, local binary patterns",
author = "Lee, {Sang Heon} and Sohn, {Myoung Kyu} and Kim, {Dong Ju} and Byungmin Kim and Hyunduk Kim",
year = "2012",
doi = "10.1145/2425836.2425902",
language = "English",
isbn = "9781450314732",
series = "ACM International Conference Proceeding Series",
pages = "335--339",
booktitle = "Proceedings of IVCNZ 2012 - The 27th Image and Vision Computing New Zealand Conference",
note = "27th Image and Vision Computing New Zealand Conference, IVCNZ 2012 ; Conference date: 26-11-2012 Through 28-11-2012",
}