1) histogram sequence of LBP
局部二值模式直方图序列
2) sequential difference histogram
序列差值直方图
1.
The algorithm follows such a sequence: firstly,recognizing possible frame cycle by sequential difference histogram;secondly,identifying conventional encoded signals by mutative step searching algorithm based on known encoding rules;thirdly,figuring out unknown codes by pulse sequences independence criterion.
该算法首先采用序列差值直方图法(SDIF)识别骨架周期,然后利用已知编码规律采用变步长序列搜索法识别常规编码信号,最后根据脉冲序列独立性判断准则识别未知编码信号。
3) local binary pattern
局部二值模式
1.
Based on observations of large number of tongue images of several diseases, we apply a method which combines Gabor transform and local binary pattern aiming for different states of tongue and symptoms of different diseases in this dissertation, and realize tongue image segmentation with both texture characteristic and color characteristic.
根据对各种疾病的舌图像的大量观察,本文针对不同疾病的舌象特点,比较了多种纹理特征提取方法,确立了每种舌质和苔质的典型特征,应用了一种结合了Gabor滤波和局部二值模式纹理特征提取算法,并结合纹理特征和颜色特征的进行了舌图像的分割。
2.
Local Binary Pattern is a newly-developed theory which is simple but useful calculating method of texture analysis.
局部二值模式(Local Binary Patterns,LBP)是最近发展起来的一种理论简单但功能强大的纹理分析算法,在计算机视觉等领域表现出良好的性能,并得到了较为广泛的应用和认可。
3.
Firstly,every block on the first layer is modeled via textures based on local binary pattern operators.
首先利用基于局部二值模式的纹理信息进行第一层分块背景建模,然后缩小建模粒度,在第一层上选取代表点进行第二层码本背景建模;目标检测时,不同粒度从上到下与所得背景模型分层匹配。
4) Local Binary Pattern(LBP)
局部二值模式
1.
A method combining Local Binary Pattern(LBP) descriptor with chain AdaBoost was presented for multi-modal face recognition.
提出了一种基于局部二值模式(LBP)和级联AdaBoost的多模态人脸识别方法。
2.
Firstly Local Binary Pattern(LBP) descriptor is used to extract the LBP Histogram Sequence(LBPHS) from greyscale and depth face images.
首先用局部二值模式(Local Binary Pattern,LBP)算子分别提取人脸灰度图像和深度图像的区域LBP直方图序列(LBP Histogram Sequence,LBPHS),采用Fisherfaces分别构建相应的线性子空间,用余弦相似度计算投影向量的匹配得分,再采用5种方法对匹配得分进行融合。
3.
This paper presents a method of multi-modal face recognition which combines Local Binary Pattern(LBP) with Fisherfaces.
提出一种结合局部二值模式(LBP)和Fisherfaces的多模态人脸识别方法。
5) Local Binary Patterns
局部二值模式
1.
Methods of ASM facial feature′s positioning based on local binary patterns
基于局部二值模式的ASM人脸特征定位方法研究
2.
Local Binary Patterns (LBP) is defined as a gray-scale invariant texture measure.
局部二值模式(LBP)是一种灰度范围内的纹理描述方式。
6) Block local binary pattern
块局部二值模式
补充资料：局部
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