Makeup interpolation based on color and shape parametrization

Jieun Cho, Jun Ohya, Sang Il Park*


研究成果: Article査読

2 被引用数 (Scopus)


In this paper, we address the problem of synthesizing continuous variations with the appearance of makeup by taking a linear combination of the examples. Makeup usually shows a vague boundary and does not form a clear shape, which makes this problem unique from the existing image interpolation problems. We approach this problem as an interpolation between semi-transparent image layers and tackle this by presenting new parametrization schemes for the color and for the shape separately in order to achieve an effective interpolation. For the color parametrization, our main idea is based on the observation of the symmetric relation between the color and transparency of the makeup; we provide an optimization framework for extracting a representative palette of colors associated with the transparent values, which enables us to easily set up the color correspondence among the multiple makeup samples. For the shape parametrization, we exploit a polar coordinate system, that creates the in-between shapes effectively, without ghosting artifacts.

出版ステータスPublished - 2019 11月 1

ASJC Scopus subject areas

  • コンピュータ サイエンス(その他)
  • 化学(その他)
  • 数学 (全般)
  • 物理学および天文学(その他)


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