Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Face recognition Based on Super-resolution Method Using Sparse Representation and Deep Learning

희소표현법과 딥러닝을 이용한 초고해상도 기반의 얼굴 인식

  • Kwon, Ohseol (Shool of Electrical Electronics & Control Eng., Changwon National University)
  • Received : 2018.01.12
  • Accepted : 2018.02.01
  • Published : 2018.02.28
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Abstract

This paper proposes a method to improve the performance of face recognition via super-resolution method using sparse representation and deep learning from low-resolution facial images. Recently, there have been many researches on ultra-high-resolution images using deep learning techniques, but studies are still under way in real-time face recognition. In this paper, we combine the sparse representation and deep learning to generate super-resolution images to improve the performance of face recognition. We have also improved the processing speed by designing in parallel structure when applying sparse representation. Finally, experimental results show that the proposed method is superior to conventional methods on various images.

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References

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