A Fast Face Changing Method Adaptable to Various Postures

Authors

  • Huazheng Huang
  • Guihua Huang
  • Weijun Zhuo
  • Minghui You

DOI:

https://doi.org/10.54097/dksr2m51

Keywords:

Triangular Affine Deformation Algorithm, Multi-pose Face Transformation, OpenCv

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.

Downloads

Download data is not yet available.

References

[1] WANG Chang-bo and WANG L, "Method of HumanFaces Synthesis for Virtual Display," Journal of Computer and Modernization, no. 10, pp. 68-71, May 2010.

[2] CHEN D, CAO X, WEN F,and SUN J, "Blessing of di-mensionality: High- dimensional feature and its efficient compression for face verification," CVPR, vol. 389, pp.3025-3032, 2013.

[3] TAIGMAN Y, YANG M,RANZATO M,et al, "Deepface: Closing the gap to human-level performance in face ver-ification," CVPR, vol.220, pp.1701-1708,2014.

[4] YU Si-hong, YU Yang, WANG Er-bo, and WANG Cun-rui, "Improved Algorithm of Face Fusion Based on Region Transformation, "Journal of Dalian Minzu University, vol. 23,no.1, pp.81-84,2021.

[5] Goodfellow I., Pouget-Abadie J., Mirza M., et al, "Generative Adversarial Nets, "Advances in Neural Information Processing Systems, pp.2672-80,2014.

[6] Isola P.,ZHU J.Y.,ZHOU T, et al, "Image-to-Image Translation with Conditional Adversarial Networks, "Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.1125-34,2017.

[7] WANG Tong-ping, "An Improved Heterogeneous Face Image Synthesis Algorithm Based on CycleGAN," Journal of Modern Computer, vol.5, pp.53-56,2020.

[8] Ke Yu-ding, "Research on Local Face Registration Methods, "Shenyang: Shenyang University of Technology,2019.

[9] ZHOU Da-nian, MA Guo-jun, DING An, WANG Biao, and LIU Wei, "Side-Scan Sonar Image Mosaic Based on Affine Transformation Method of Triangulation, "Electronics Optics & Control, vol.26, no.10, pp.17-21,2019.

[10] XIONG Xhi-Fei and SHEN Jiang-hai, "A Multi-focus Image Fusion Algorithm Based on Multidimensional Adaptive Filtering and Poission Fusion, "Science Technology and Engineering, vol.23, no.24, pp.10427-10436,2023.

[11] Long Hui, Zhu Meng-chun,Deng Ya-qian,Yao Xiao-yin, and Liu Wei, "Intelligent Campus Face Access Control System Based on OpenCV, "Journal of Industrial Control Computers, vol.36, no.9, pp.73-75,2023.

[12] GAO Qiang, PAN Jun, and LIU Wei, "A Fatigue Detection System for Flight Dispatcher Based on Face Feature Points, "SOFTWARE, vol.45, no.3, pp.37-41,2024.

Downloads

Published

26-09-2024

Issue

Section

Articles

How to Cite

Huang, H., Huang, G., Zhuo, W., & You, M. (2024). A Fast Face Changing Method Adaptable to Various Postures. Frontiers in Computing and Intelligent Systems, 9(3), 20-23. https://doi.org/10.54097/dksr2m51