The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Design of Face Recognition System Based on Pose Estimation : Comparative Studies of Pose Estimation Algorithms

포즈 추정 기반 얼굴 인식 시스템 설계 : 포즈 추정 알고리즘 비교 연구

  • Kim, Jin-Yul (Dept. of Electronic Engineering, The University of Suwon) ;
  • Kim, Jong-Bum (Dept. of Electronic Engineering, The University of Suwon) ;
  • Oh, Sung-Kwun (Dept. of Electronic Engineering, The University of Suwon)
  • Received : 2016.03.02
  • Accepted : 2017.03.02
  • Published : 2017.04.01
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Abstract

This paper is concerned with the design methodology of face recognition system based on pose estimation. In 2-dimensional face recognition, the variations of facial pose cause the deterioration of recognition performance because object recognition is carried out by using brightness of each pixel on image. To alleviate such problem, the proposed face recognition system deals with Learning Vector Quantizatioin(LVQ) or K-Nearest Neighbor(K-NN) to estimate facial pose on image and then the images obtained from LVQ or K-NN are used as the inputs of networks such as Convolution Neural Networks(CNNs) and Radial Basis Function Neural Networks(RBFNNs). The effectiveness and efficiency of the post estimation using LVQ and K-NN as well as face recognition rate using CNNs and RBFNNs are discussed through experiments carried out by using ICPR and CMU PIE databases.

Keywords

Acknowledgement

Grant : Centre for U-city Security & Surveillance Technology

Supported by : National Research Foundation of Korea (NRF), GRRC

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