한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제20권5호
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  • Pages.758-768
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  • 2017
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  • 1229-7771(pISSN)
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  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
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공간 계층적 구조 기반 지역 기술자 활용 얼굴인식 기술

Using Spatial Pyramid Based Local Descriptor for Face Recognition

  • Kim, Kyeong Tae (Division of Computer and Electronic Systems Engineering, Hankuk University of Foreign Studies) ;
  • Choi, Jae Young (Division of Computer and Electronic Systems Engineering, Hankuk University of Foreign Studies)
  • 투고 : 2017.02.26
  • 심사 : 2017.04.25
  • 발행 : 2017.05.31
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초록

In this paper, we present a novel method to extract face representation based on multi-resolution spatial pyramid. In our method, a face is subdivided into increasingly finer sub-regions (local regions) and represented at multiple levels of histogram representations. To cope with misaligned problem, patch-based local descriptor extraction has been also developed in a novel way. To preserve multiple levels of detail in local characteristics and also encode holistic spatial configuration, histograms from all levels of spatial pyramid are integrated by using dimensionality reduction and feature combination, leading to our spatial-pyramid face feature representation. We incorporate our proposed face features into general face recognition pipeline and achieve state-of-the-art results on challenging face recognition problems.

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