局部二值模式方法研究与展望

宋克臣; 颜云辉; 陈文辉; 张旭

doi:10.3724/SP.J.1004.2013.00730

局部二值模式方法研究与展望

doi: 10.3724/SP.J.1004.2013.00730

1.
东北大学机械工程与自动化学院沈阳 110819

基金项目:

中央高校基本科研业务费专项资金(N120603003)资助

详细信息

通讯作者:
宋克臣

计量
- 文章访问数: 3535
- HTML全文浏览量: 113
- PDF下载量: 5114
- 被引次数: 0
出版历程
- 收稿日期: 2012-07-04
- 修回日期: 2012-11-07
- 刊出日期: 2013-06-20

Research and Perspective on Local Binary Pattern

1.
School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819

Funds:

Supported by Fundamental Research Funds for the Central Universities(N120603003)

摘要

摘要: 针对当前局部二值模式(Local binary pattern, LBP)方法表现出的理论和实际应用价值, 系统综述了在纹理分析和分类、人脸分析和识别以及其他检测与应用中的各种LBP 方法.首先, 简要概述了LBP方法的原理, 主要分析了LBP 方法中的阈值操作并介绍了统一模式和旋转不变性模式.其次, 分别对纹理分析和分类中的LBP方法、人脸分析和识别中的LBP方法以及其他检测与应用中的LBP方法等三个方面进行了详细的梳理和评述.最后, 分析了LBP方法在应用中依旧存在的重要问题并指出了未来的研究方向.
- 局部二值模式 /
- 特征提取 /
- 纹理分析 /
- 人脸分析 /
- 目标检测
Abstract: In view of the theoretical and practical value of local binary pattern (LBP), the various LBP methods in texture analysis and classification, face analysis and recognition, and other detection applications are reviewed. Firstly, the principle of LBP method is briefly discussed, which mainly analyses the threshold operation, the uniform pattern and rotation invariant pattern in LBP method. Secondly, the texture analysis and classification of the LBP method, face analysis and recognition of the LBP method and other detection applications of the LBP method are particular combed and commented. Finally, the existing important problems of the LBP method are analyzed and the future for the LBP method is pointed out.
- Local binary pattern (LBP) /
- feature extraction /
- texture analysis /
- face analysis /
- object detection

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参考文献(87)

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