Sub-block face recognition based on virtual information with one training image per person

doi:10.3778/j.issn.1002-8331.2009.19.045

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (19): 146-149.DOI: 10.3778/j.issn.1002-8331.2009.19.045

• 图形、图像、模式识别 • Previous Articles Next Articles

Sub-block face recognition based on virtual information with one training image per person

WU Peng¹,ZHOU Ji-liu¹,LI Xiao-hua¹,DING Xiao-lian²

1.College of Computer Science，Sichuan University，Chengdu 610065，China
2.School of Electronics and Information Engineering，Sichuan University，Chengdu 610065，China

Received:2008-04-17 Revised:2008-09-01 Online:2009-07-01 Published:2009-07-01
Contact: WU Peng

基于虚拟信息的单样本分块人脸识别

吴朋¹,周激流¹,李晓华¹,丁晓莲²

1.四川大学计算机（软件）学院，成都 610065
2.四川大学电子信息学院，成都 610065

通讯作者: 吴朋

Abstract

Abstract: As the number of training samples limited in the face recognition with one training sample per person，it is quite important to make full use of the information of the samples.Aiming at this situation，a method of sub-block face recognition based on virtual information with one training image per person is proposed，which makes the best of the globe and local information of the samples.Compared by the examples，the proposed method attains a better result when recognizes face image.At a certain extent，it can overcomes the intensive influence of pose to the recognition effect.

Key words: virtual information, feature extraction, sub-block, image circumgyration

摘要： 在单样本人脸识别中，由于训练样本的数量受限，充分利用样本的信息就显得十分重要；针对这种情况，通过采用旋转和反转原始图像的方法增加样本信息，提出了基于虚拟信息的单样本分块人脸识别方法，充分利用了样本的整体信息和局部信息。实验表明，在对人脸图像进行识别时取得了较好的效果，在一定程度上克服了单样本下姿态对识别效果的强烈影响。

关键词: 虚拟样本, 特征提取, 分块, 图像旋转

WU Peng¹,ZHOU Ji-liu¹,LI Xiao-hua¹,DING Xiao-lian². Sub-block face recognition based on virtual information with one training image per person[J]. Computer Engineering and Applications, 2009, 45(19): 146-149.

吴朋¹,周激流¹,李晓华¹,丁晓莲². 基于虚拟信息的单样本分块人脸识别[J]. 计算机工程与应用, 2009, 45(19): 146-149.

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Sub-block face recognition based on virtual information with one training image per person

基于虚拟信息的单样本分块人脸识别

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