Facial Parts-Based Face Hallucination Method

  • Kaori Kataoka
  • Shingo Ando
  • Akira Suzuki
  • Hideki Koike
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6134)


Face hallucination produces high-resolution facial images from low-resolution inputs. In this paper, we propose a facial-parts-based face hallucination method. Since our goal is face recognition rather than face reconstruction, the contour information of facial-parts(such as eyes) is important. This method reconstructs facial parts as entities instead of dividing them into small blocks. We obtain the contours of facial parts by using the Active Appearance Model(AAM), and transform training images based on contours. We confirm that the proposed method significantly enhances face recognition performance.


face hallucination contour of facial-parts Active Appearance Model 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Kaori Kataoka
    • 1
  • Shingo Ando
    • 2
  • Akira Suzuki
    • 1
  • Hideki Koike
    • 1
  1. 1.NTT Cyber Space LaboratoriesNTT CorporationKanagawaJapan
  2. 2.Research and Development CenterNippon Telegraph and Telephone West CorporationOsakaJapan

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