AUTOMATIC FACIAL MAKEUP DETECTION METHODS IN FACE RECOGNITION: A REVIEW

Authors

  • Rachana Alva
  • Sonal J Fernandes
  • Nausheeda B S

DOI:

#10.25215/8119070682.34

Keywords:

Facial recognition, Makeup detection, Makeup effect, Partial least square, ROI detection

Abstract

In the realm of cosmetics, facial recognition technology could potentially be used for the detection and selection of cosmetics based on a person's unique facial features. The use of makeup can sometimes make it more difficult for facial recognition technology to accurately detect and analyze a person's facial features. This is because makeup can alter the appearance of a person's face, making it harder for the technology to identify certain characteristics. For example, heavy makeup or makeup that changes the shape or color of a person's features, such as contouring or dramatic eye makeup, can make it more difficult for facial recognition technology to accurately detect and analyze the face. In these cases, the technology may not be able to identify the person's unique facial features, which could lead to incorrect or inaccurate results. Overall, the use of makeup can sometimes make it more difficult for facial recognition technology to accurately detect and analyze a person's facial features, but with the proper training and development, it is possible for the technology to account for the effects of makeup.

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Published

2023-07-02

How to Cite

Rachana Alva, Sonal J Fernandes, & Nausheeda B S. (2023). AUTOMATIC FACIAL MAKEUP DETECTION METHODS IN FACE RECOGNITION: A REVIEW. Redshine Archive, 1. https://doi.org/10.25215/8119070682.34