A Practical Approach to Physically-Based Reproduction of Diffusive Cosmetics

dc.contributor.authorKim, Goanghunen_US
dc.contributor.authorKo, Hyeong-Seoken_US
dc.contributor.editorFu, Hongbo and Ghosh, Abhijeet and Kopf, Johannesen_US
dc.date.accessioned2018-10-07T14:59:18Z
dc.date.available2018-10-07T14:59:18Z
dc.date.issued2018
dc.description.abstractIn this paper, we introduce so-called the bSX method as a new way to utilize the Kubelka-Munk (K-M) model. Assuming the material is completely diffusive, the K-M model gives the reflectance and transmittance of the material from the observation of the material applied on a backing, where the observation includes the thickness of the material application. By rearranging the original K-M equation, we propose that the reflectance and transmittance can be calculated without knowing the thickness. This is a practically useful contribution. Based on the above finding, we develop the bSX method which can (1) capture the material specific parameters from the two photos - taken before and after the material application, and (2) reproduce its effect on a novel backing. We experimented the proposed method in various cases related to virtual cosmetic try-on, which include (1) capture from a single color backing, (2) capture from human skin backing, (3) reproduction of varying thickness effect, (4) reproduction of multi-layer cosmetic application effect, (5) applying the proposed method to makeup transfer. Compared to previous image-based makeup transfer methods, the bSX method reproduces the feel of the cosmetics more accurately.en_US
dc.description.number7
dc.description.sectionheadersAppearance and Illumination
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume37
dc.identifier.doi10.1111/cgf.13562
dc.identifier.issn1467-8659
dc.identifier.pages223-232
dc.identifier.urihttps://doi.org/10.1111/cgf.13562
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13562
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectImage processing
dc.titleA Practical Approach to Physically-Based Reproduction of Diffusive Cosmeticsen_US
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