[1]王东署,谭达佩,韦晓琴.基于发育网络的人脸朝向识别研究[J].郑州大学学报(工学版),2017,38(05):23-27.[doi:10.13705/j.issn.1671-6833.2017.02.023]
Wang Dongshu,Tan Dapei,Wei Xiaoqin.Study of Face Orientation Recognition Based on Development Network[J].Journal of Zhengzhou University (Engineering Science),2017,38(05):23-27.[doi:10.13705/j.issn.1671-6833.2017.02.023]
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基于发育网络的人脸朝向识别研究(
)
《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]
- 卷:
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38
- 期数:
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2017年05期
- 页码:
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23-27
- 栏目:
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- 出版日期:
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2017-09-26
文章信息/Info
- Title:
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Study of Face Orientation Recognition Based on Development Network
- 作者:
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王东署; 谭达佩; 韦晓琴
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郑州大学电气工程学院,河南郑州,450001
- Author(s):
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Wang Dongshu; Tan Dapei; Wei Xiaoqin
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School of Electrical Engineering, Zhengzhou University, Zhengzhou, Henan 450001
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- 关键词:
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发育网络; 人脸朝向识别; 光线背景; 特征向量; 识别率
- Keywords:
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- DOI:
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10.13705/j.issn.1671-6833.2017.02.023
- 文献标志码:
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A
- 摘要:
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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％.
- Abstract:
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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 deveiopment 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％.
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