摘要
针对人脸识别中人脸的朝向、位置以及背景光线不固定的特点,提出了一种基于发育网络的人脸朝向识别新方法.对图像进行处理后发现人眼的特征非常突出,故选择眼睛的位置作为人脸朝向的特征向量,利用发育网络模型对不同背景光线图像中人脸的朝向进行识别.通过和其它方法的测试结果对比,该方法可以有效地解决不同光照条件下人脸朝向识别问题,并具有快速、稳定、高效的特点,且识别率高达100%.
Based on the characteristic of face orientation,position and the light background in face recognition,a new method of face orientation recognition based on development network is proposed. The characteristic of human＇s eye was very prominent,so the position of eyes was chosen as the face orientation feature vector. And the development network model was used to recognize human＇s face orientation in the different light background images. The result showed that this method could effectively solve the difficult problem of face orientation recognition under varying illumination conditions by comparing with the test results of other methods,which was fast,stable and effective. The recognition rate was as high as 100%.
出处
《郑州大学学报（工学版）》
CAS
北大核心
2017年第5期23-27,共5页
Journal of Zhengzhou University（Engineering Science）
基金
国家自然科学基金资助项目(61174085)
关键词
发育网络
人脸朝向识别
光线背景
特征向量
识别率
development network
face orientation recognition
light background
feature vector
recognition rate
