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Research on Image-based Automatic Modification Algorithm of Eyebrows

Published: 10 July 2020 Publication History

Abstract

To a certain extent, modern aesthetics force people to change the shape and color of eyebrows according to the current popular form, and achieve the aesthetic effect of the overall effect. How to match the appropriate eyebrows according to different face types has always been pursued and desired by people. However, hand animation eyebrows require certain skills. Not everyone can draw beautiful and clean eyebrows. In order to meet the requirements of automation and real-time in virtual makeup technology, this paper proposes an algorithm for automatically modifying eyebrows by using digital image processing technique. Firstly, the Haar classifier and the Dajin threshold method combined with the Haar-Like feature and the AdaBoost algorithm are used to realize the detection, segmentation and replacement of the eyebrows. At the same time, the color transformation can be performed to achieve further modification effects. Through the experimental results, it can be found that the proposed automatic modification algorithm not only realize the automatic modification of eyebrows and the transformation of different colors, but also the makeup effect is natural and beautiful.

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ICBBT '20: Proceedings of the 2020 12th International Conference on Bioinformatics and Biomedical Technology
May 2020
163 pages
ISBN:9781450375719
DOI:10.1145/3405758
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • NWPU: Northwestern Polytechnical University
  • Universidade Nova de Lisboa

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Association for Computing Machinery

New York, NY, United States

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Published: 10 July 2020

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  1. Digital image processing
  2. Eyebrow segmentation
  3. Virtual makeup

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