International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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SURF based Hair Matching and VR Hair Cutting

  • Sung, Changjo (Department of Media Software, Sungkyul University, XICOM LAB) ;
  • Park, Kyoungsoo (Department of Media Software, Sungkyul University, XICOM LAB) ;
  • Chin, Seongah (Department of Media Software, Sungkyul University, XICOM LAB)
  • Received : 2022.07.06
  • Accepted : 2022.07.15
  • Published : 2022.09.30
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Abstract

Hair styling has a significant influence on human social perception. An increasing number of people are learning hair styling and obtaining hair designer licenses. However, it takes a considerable amount of money and time to learn professional hairstyle and beauty techniques for hair styling. Since COVID-19, there has been a growing need for offline and video lectures due to the decline in onsite training opportunities. This study provides a field practice environment in which real hair beauty is performed in a virtual space. Further, the hairstyle that is most similar to the user's hair taken with a webcam or mobile phone is determined through an image matching system using the speeded up robust features (SURF) method. The matching hairstyle was created into a three-dimensional (3D) hair model. The created 3D hair model uses a head-mounted display (HMD) and a controller that enables finger tracking through mapping to reproduce the haircutting scissors' motion while providing a feeling of real hair beauty.

Keywords

Acknowledgement

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) and funded by the Ministry of Science and ICT (No. 2021R1F1A104540111).

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