• DocumentCode
    1647326
  • Title

    Magic Mirror: An Intelligent Fashion Recommendation System

  • Author

    Si Liu ; Luoqi Liu ; Shuicheng Yan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2013
  • Firstpage
    11
  • Lastpage
    15
  • Abstract
    This paper mainly introduces the techniques required for a future system, called Magic Mirror. Imagine when you wake up in the morning and prepare for the coming day, the Magic Mirror will automatically recommend to you the most appropriate styles of hair, makeup, and dressing, according to the events and activities on your calendar, with which it is linked, so that you can present yourself on these occasions with elegant and suitable appearance. The work shall focus on the mathematical models for these tasks, particularly on how to model the relations between low-level human body features, middle-level facial/body attributes, and high-level recommendations. Being automatic and intelligent are the two main characteristics of the system, and this work shall show two prototype sub-systems related with the whole Magic Mirror system.
  • Keywords
    face recognition; image matching; recommender systems; support vector machines; high-level recommendations; intelligent fashion recommendation system; latent SVM based recommendation model; low-level human body features; magic mirror system; mathematical models; middle-level facial attributes; support vector machine; Clothing; Feature extraction; Gold; Hair; Mirrors; Support vector machines; Testing; clothing recommendation; makeup recommendation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ACPR), 2013 2nd IAPR Asian Conference on
  • Conference_Location
    Naha
  • Type

    conf

  • DOI
    10.1109/ACPR.2013.212
  • Filename
    6778272