基于BP网络的人脸朝向检测
Face toward detection base on the BP network
生物特征识别领域中,人脸识别具有很高实用价值和广阔应用前景。为了使智能机器人的视觉系统能够识别出人脸朝向,本文运用BP神经网络和Matlab神经网络工具箱的相关理论知识,研究人脸识别技术,对图像中人脸朝向判别进行实验研究。实验采用Matlab工具箱设计BP网络,实现对人脸角度方向的识别。运用BP神经网络的相关知识,讨论了输入和目标向量设计BP神经网络结构的设计,以及网络参数和训练参数的设定等问题。实验结果表明,BP网络能够根据输入的图像信息,以一定的准确率识别图像中人脸朝向。
he field of biometric identification, face recognition with high practical value and broad application prospects.In order to make intelligent robot vision system to recognize the human face direction, This paper uses BP neural network and the Matlab neural network toolbox research face recognition technology, research person face's direction in image. Experiments based on BP network designed by Matlab toolbox, realize the face recognition.?Using the knowledge of BP neural network.Discussed input and objective vector design, and network parameters and training parameter setting, etc. Experimental results show that the BP network can according to the input image information, with certain accuracy recognition of image face toward.
高文平
自动化技术、自动化技术设备计算技术、计算机技术生物科学现状、生物科学发展
电路与系统BP神经网络人脸朝向识别Matlab
ircuits and systemsBP neural networkFace toward the recognitionMatlab
高文平.基于BP网络的人脸朝向检测[EB/OL].(2010-12-31)[2025-08-10].http://www.paper.edu.cn/releasepaper/content/201012-1438.点此复制
评论