Improving indoor and outdoor face recognition using unified subspace analysis and Gabor features
Improving indoor and outdoor face recognition using unified subspace analysis and Gabor features
复制标题
使用统一子空间分析和 Gabor 特征改进室内和室外人脸识别
DOI：
10.1109/icip.2004.1421470
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
Xiaoou Tang
中科院分区：
文献类型：
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作者：
Xiaogang Wang;Xiaoou Tang
光照变化是人脸识别的主要问题之一。目前大多数针对光照问题的人脸识别研究都是基于受控实验室光照或正常室内光照下拍摄的人脸图像集。在最近的FRVT 2002测试中，我们发现最好的人脸识别系统对正常的室内光照变化不敏感，但在室外探头人脸图像集上性能明显下降。这清楚地表明，户外图像中的人脸识别需要成为未来研究的重点。在本文中，我们使用几种简单实用的技术来解决光照变化问题。采用统一子空间方法，结合小波局部特征和适当的训练数据选择，显著提高了室内和室外的人脸识别效果。
Lighting variation is one of the major problems for face recognition. Most of the current face recognition studies on lighting problem are based on the face image set taken under controlled laboratory lighting or normal indoor lighting. In the recent FRVT 2002 test, it is found that the best face recognition systems are not sensitive to normal indoor lighting changes, but have a significant drop in performance on the outdoor probe face image set. This clearly indicates that recognition of faces in outdoor images needs to be a focus of future research. In this paper, we address the lighting variation problem using several simple and practical techniques. Using the unified subspace method in combination with wavelet local features and appropriate training data selection, we improve the indoor and outdoor face recognition significantly.
基于特征脸的人脸建模与识别
DOI：
--
发表时间：
2003
期刊：
IPSJ SIG Technical Reports Vol. CVIM-139
影响因子：
--
作者：
T.;Shakunaga;F.;Sakaue;Y.;Matsubara
通讯作者：
Matsubara