局部二进制模式
人工智能
模式识别(心理学)
面部识别系统
计算机科学
面子(社会学概念)
特征(语言学)
计算机视觉
特征提取
三维人脸识别
图像(数学)
代表(政治)
图像纹理
特征向量
二进制数
人脸检测
直方图
图像处理
数学
社会科学
语言学
哲学
算术
社会学
政治
法学
政治学
作者
T. Ahonen,Abdenour Hadid,Matti Pietikäinen
标识
DOI:10.1109/tpami.2006.244
摘要
This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features. The face image is divided into several regions from which the LBP feature distributions are extracted and concatenated into an enhanced feature vector to be used as a face descriptor. The performance of the proposed method is assessed in the face recognition problem under different challenges. Other applications and several extensions are also discussed.
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