Hairstyle suggestion using statistical learning

  • Authors:
  • Wei Yang;Masahiro Toyoura;Xiaoyang Mao

  • Affiliations:
  • University of Yamanashi, Kofu, Yamanashi, Japan;University of Yamanashi, Kofu, Yamanashi, Japan;University of Yamanashi, Kofu, Yamanashi, Japan

  • Venue:
  • MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
  • Year:
  • 2012

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Abstract

Hairstyle is one of the most important features people use to characterize one's appearance. Whether a hairstyle is suitable or not is said to be closely related to one's facial shape. This paper proposes a new technique for automatically retrieving a suitable hairstyle from a collection of hairstyle examples through learning the relationship between facial shapes and suitable hairstyles. A method of hair-face image composition utilizing modern matting technique was also developed to synthesize realistic hairstyle images. The effectiveness of the proposed technique was validated through evaluation experiments.