A Fast Face Changing Method Adaptable to Various Postures

Image face-changing technology is influenced by skin color and posture. After changing faces, the contour information or skin color information of the user's face will be lost, resulting in low similarity between the changed image and the user's face in the source image. This paper introduces a rapid face-changing method that can adapt to various poses. Regardless of whether the facial poses in the source image and template image differ significantly, this method can retain the facial contours and skin tone in the user's source image without deformation, resulting in a high similarity between the transformed image and the face in the source image. Additionally, it offers low computational complexity, quick processing speed, and a small amount of computational effort.

Authors

Publication Details

Journal
Frontiers in Computing and Intelligent Systems
Published
2024-09-26
DOI
https://doi.org/10.54097/dksr2m51
Primary Topic
3D Shape Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

A Fast Face Changing Method Adaptable to Various Postures

Minghui You, H. K. Huang, Guihua Huang, Wen Zhuo
Frontiers in Computing and Intelligent Systems
3D Shape Modeling and Analysis
article

A Fast Face Changing Method Adaptable to Various Postures

Minghui You, H. K. Huang, Guihua Huang, Wen Zhuo
article en

Abstract

Image face-changing technology is influenced by skin color and posture. After changing faces, the contour information or skin color information of the user's face will be lost, resulting in low similarity between the changed image and the user's face in the source image. This paper introduces a rapid face-changing method that can adapt to various poses. Regardless of whether the facial poses in the source image and template image differ significantly, this method can retain the facial contours and skin tone in the user's source image without deformation, resulting in a high similarity between the transformed image and the face in the source image. Additionally, it offers low computational complexity, quick processing speed, and a small amount of computational effort.

Frontiers in Computing and Intelligent SystemsVol. 9(3)
Guangdong University of Science and Technology
Openalex Percentile: Top 79%
3D Shape Modeling and Analysis
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A Fast Face Changing Method Adaptable to Various Postures — Minghui You, H. K. Huang, et al. · Frontiers in Computing and Intelligent Systems (2024) | TGRS Research Map | TGRS