面部识别系统
计算机科学
Python(编程语言)
人脸检测
开源
三维人脸识别
人工智能
三维单目标识别
对象类检测
人脸识别大挑战
计算机视觉
面子(社会学概念)
视觉对象识别的认知神经科学
移动设备
模式识别(心理学)
特征提取
软件
万维网
操作系统
社会科学
社会学
作者
Gurpreet Singh,Ishika Gupta,Jaspreet Singh,Navneet Kaur
标识
DOI:10.1109/icrito56286.2022.9964836
摘要
Within a human's lifetime, faces are the visually embellished images that appear most frequently. Facial Recognition is the ability to recognize and discover someone primarily based totally on their facial features. Because the face is multidimensional, it necessitates several mathematical calculations. Thus, this work is aimed at developing an improved face recognition system that will serve in numerous application areas. Many approaches have already been developed, but they have low recognition capabilities and a high false alarm rate. As a result, there is a need for face recognition system that is more accurate and has a shorter recognition time. Due to rising security concerns and the quick development of mobile devices, face detection has recently been a hot research area. This paper focuses on the implementation of a face recognition system for human identification based on the open-source computer vision library (OpenCV) with python.At last the current application areas related to face recognition system is represented.
科研通智能强力驱动
Strongly Powered by AbleSci AI