What is it about?
This paper presents a new approach to human hair colorization and relighting. Human hair colorization, concerning given model hair image without changing neither hairstyle nor hair texture, is challenging. The fundamental problem making this task complicated is the difference in the hair texture and the illumination between a user and model images.
Featured Image
Photo by Szabolcs Toth on Unsplash
Why is it important?
Natural human hair consists of a mix of hair swatches. Each swatch has its chromaticity distribution, which, generally, is non-Gaussian. The proposed method treats these swatches as color clusters in the hair image. In this case, matching the user and the model hair swatches or color clusters solves the problem. After this matching, the color transfer between the relevant model and user swatches is applied. Besides, the model’s hair should be compressed to a reasonable size to provide simultaneous representation for numerous hair colors. The model’s hair colors are taken from the images of hair color packs that usually are available in decorative cosmetic stores.
Perspectives
I hope this article will clarify the problems of human hair colorization and the relighting, and it should also emphasize its difference from a natural image colorization and relighting task.
Dr Uri Lipowezky
Tel Aviv University
Read the Original
This page is a summary of: Assessment of Automatic Hair Colorization and Relighting Using Chromaticity Distribution Matching, November 2021, Sciencedomain International,
DOI: 10.9734/bpi/nvst/v9/5348f.
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