Paper
20 June 2023 Video face recognition based on 3D chaotic attractor
Xiang Li, Xiaoran Chen, Wanbo Yu
Author Affiliations +
Proceedings Volume 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023); 1271529 (2023) https://doi.org/10.1117/12.2682356
Event: Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 2023, Dalian, China
Abstract
In this paper, we propose an image feature extraction method based on 3D chaotic attractor, and carry out face video recognition. By adjusting the auxiliary function, the feature point set is located on a plane in the 3D coordinate system. The experiment shows that the feature point set on the plane can extract face features better and recognize faces more efficiently. This method is faster and has higher recognition rate than the method that uses trigonometric function to iteratively generate image feature point set to recognize face in video.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiang Li, Xiaoran Chen, and Wanbo Yu "Video face recognition based on 3D chaotic attractor", Proc. SPIE 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 1271529 (20 June 2023); https://doi.org/10.1117/12.2682356
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KEYWORDS
Facial recognition systems

Video

Feature extraction

Detection and tracking algorithms

Dynamical systems

3D image processing

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