Paper
10 November 2022 Research on face recognition system algorithm based on robot scene interaction
Yanxian Tan, Yunli Cheng, Xueqin Tan, Yaohua Lei
Author Affiliations +
Proceedings Volume 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022); 1234826 (2022) https://doi.org/10.1117/12.2641457
Event: 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 2022, Zhuhai, China
Abstract
Face recognition system based on robot scene interaction is applied in the specific scene of people's life. The life scene is rich and varied, so in order to make the robot naturally integrate into the life scene of human, it needs to enrich its scene processing ability as much as possible. In this paper, face recognition related technologies are used to realize the two scenes of meeting new friends and greeting good friends in the robot scene. Firstly, this paper introduces the practical application background of the system and the application of face recognition in the system. At the same time, it also introduces the background and development status of face recognition at home and abroad. Secondly, combined with the business requirements of the system, determine the overall architecture and module division of the system, as well as the interaction process between each module. Finally, this paper elaborates the realization process of face recognition system based on robot scene interaction, this part is the focus of this paper.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanxian Tan, Yunli Cheng, Xueqin Tan, and Yaohua Lei "Research on face recognition system algorithm based on robot scene interaction", Proc. SPIE 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 1234826 (10 November 2022); https://doi.org/10.1117/12.2641457
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KEYWORDS
Facial recognition systems

Feature extraction

Detection and tracking algorithms

Robotic systems

Visualization

Cameras

Neural networks

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