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Open AccessArticle

Makeup Interpolation Based on Color and Shape Parametrization

by Jieun Cho 1,†, Jun Ohya 2 and Sang Il Park 3,*
Global Information and Telecommunication Institute, Waseda University, Tokyo 169-8050, Japan
Department of Modern Mechanical Engineering, Waseda University, Tokyo 169-8050, Japan
Department of Software, Sejong University, Seoul 05006, Korea
Author to whom correspondence should be addressed.
Current address: JSC Co., LTD., Chungcheongbuk-do 27674, Korea.
Symmetry 2019, 11(11), 1422;
Received: 13 October 2019 / Revised: 4 November 2019 / Accepted: 13 November 2019 / Published: 18 November 2019
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. View Full-Text
Keywords: image interpolation; semi-transparent image; digital makeup image interpolation; semi-transparent image; digital makeup
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Cho, J.; Ohya, J.; Park, S.I. Makeup Interpolation Based on Color and Shape Parametrization. Symmetry 2019, 11, 1422.

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  • Supplementary File 1:

    MP4-Document (MP4, 17014 KB)

  • Externally hosted supplementary file 1
    Doi: 10.5281/zenodo.3483958
    Description: This supplementary video contains the experimental results including the convergence for the matt refinement process for Figure 9, the makeup morphing comparison results for Figures 10, 11, 13 and 14, and the interactive demo of the system.
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