基于深度学习人脸识别技术在高校课堂点名中的设计及实现

Design and Implementation of Face Recognition Based on Deep Learning in College Classroom Roll Call

深度学习是目前人工智能领域采用的最先进的的AI学习方法之一,并在各个相关领域都取得了飞速的发展,尤其是在人脸识别领域的应用.深度学习是模拟人类视觉感知神经系统的认知学习,能够获得更具表征力的高层特征,可以用来解决人脸识别中面部变化分布,详细了解人脸图像规律,学习速度快.文章介绍了深度学习方法,人脸识别的核心技术等,分析研究了人脸深度学习技术在高校课堂点名中的应用.

Deep learning is one of the most advanced AI learning methods currently used in the field of artificial intelligence,and has achieved rapid development in various related fields,especially in the field of face recognition.Deep learning is a cognitive learning that simulates the human visual perception of the nervous system.It can obtain more representative high-level features.It can be used to solve the face change distribution in face recognition,understand the law of face image in detail,and learn quickly.This paper introduces the outline of deep learning,the core technology of face recognition etc.,and analyzes the application of face in-depth learning technology in college classroom roll call.