基于多任务联合判别稀疏表示的人脸识别

doi:10.3969/j.issn.1006-2475.2019.10.014

计算机与现代化

基于多任务联合判别稀疏表示的人脸识别

(河南工业职业技术学院电子信息工程学院,河南南阳473000)

收稿日期:2019-04-21 出版日期:2019-10-28 发布日期:2019-10-29
作者简介:李垒(1982-),男,河南南阳人,讲师,硕士,研究方向:计算机软件,图像处理,E-mail: lileitf@163.com; 任越美(1984-),女,副教授,博士,研究方向:图像处理,模式识别,E-mail: renym2008@163.com。
基金资助:
国家自然科学基金资助项目(61671385)；南阳市科技攻关计划项目（2017KJGG009， 2019KJGG009）; 河南工业职业技术学院青年骨干教师培养计划项目

Face Recognition Based on Multi-task Joint Discrimination Sparse Representation

(College of Electronic Information Engineering, Henan Polytechnic Institute, Nanyang 473000, China)

Received:2019-04-21 Online:2019-10-28 Published:2019-10-29

摘要/Abstract

摘要： 针对人脸识别中由于姿态、光照及噪声等影响造成的识别率不高的问题，提出一种基于多任务联合判别稀疏表示的人脸识别方法。首先提取人脸的局部二值特征，并基于多个特征建立一个联合分类误差与表示误差的过完备字典学习目标函数。然后，使用一种多任务联合判别字典学习方法，将多任务联合判别字典与最优线性分类器参数联合学习，得到具有良好表征和鉴别能力的字典及相应的分类器，进而提高人脸识别效果。实验结果表明，所提方法相比其他稀疏人脸识别方法具有更好的识别性能。

关键词: 人脸识别, 联合稀疏表示；局部二值模式；字典学习

Abstract: In order to solve the problem that the recognition rate is not high due to the influence of attitude, illumination and noise in face recognition, a face recognition method based on multi-task joint discrimination sparse representation is proposed. Firstly, the local binary features of human face are extracted, and an over-complete dictionary learning objective function of joint classification error and representation error is established based on multiple features. Then, using a multi-task joint discriminant dictionary learning method, the multi-task joint discriminant dictionary and the corresponding classifier are learned. The dictionary has good characterization and discriminant ability, so as to improve the face recognition effect. Experimental results show that the proposed method has better recognition performance than other sparse face recognition methods.

Key words: face recognition, joint sparse representation, local binary pattern, dictionary learning

中图分类号:

TP391

李垒，任越美. 基于多任务联合判别稀疏表示的人脸识别[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2019.10.014.

LI Lei, REN Yue-mei. Face Recognition Based on Multi-task Joint Discrimination Sparse Representation[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2019.10.014.

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基于多任务联合判别稀疏表示的人脸识别

Face Recognition Based on Multi-task Joint Discrimination Sparse Representation

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