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Local Binary Pattern Relation Document.
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Local Binary Pattern
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local binary pattern
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Local Binary Pattern
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local binary pattern source code
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一种有效的纹理描述算子，局部二进制模式。描述图像局部纹理特征-An effective texture descr iption of the operator, local binary pattern. Descr iption of the image texture features
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lbp source code include the implementation of local binary pattern algorithm
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给出图像坐标，计算对应坐标的LBP(局部二值模式)特征-compute LBP(Local binary pattern) feature
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这是局部二值模式的代码，其中mygetmapping是产生lbp代码模式，mylbp是阈值lbp算法。-This is the code of the local binary pattern, which mygetmapping is generated the lbp code mode, the mylbp threshold lbp algorithm.
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基于局部二值模式的人脸识别范例,其中中选用了YALE人脸库作为仿真数据源。
-The local binary pattern based face recognition example, YALE face database was selected as the simulation data source.
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local binary pattern paper.
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local binary pattern document
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Feature extraction for image retrieval:
This software extracts the four kinds of features,
1. Color histogram, color moments
2. Edge histogram
3. Gabor wavelets transform
4. Local Binary Pattern
5. GIST
-Feature extraction
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LBP局部二元图检测人脸源代码，适合新手-LBP local binary pattern detection of human faces source code
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了适应跟踪过程中目标光照条件的变化，并对目标特征进行在线更新，提出一种将局部二元模式(LBP)
特征与图像灰度信息相融合，同时结合增量线性判别分析对目标进行跟踪的算法．跟踪开始前，为了获得比较准确的目标描述，使用混合高斯模型和期望最大化算法对目标进行分割；跟踪过程中，通过蒙特卡罗方法对目标区域和背景区域进行采样，并更新特征空间参数．得到目标和背景的最优分类面；最后使用粒子滤波器结合最优分类面对目标状态进行预测．通过光照变化的仿真视频和自然场景视频的跟踪实验，验证了文中算法的有效性．-Trac
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This algorithm is designed to convert an Satellite image (target image) and template image using local binary pattern (LBP) and then applied cross correlation between LBP target image and LBP template image. This algorithm is designed to work with sa
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This algorithm is designed to segment an satellite image using Kmeans, and then all kmeans clusters Satellite image (target image) and template image using local binary pattern (LBP) and then applied various template matching techniques between LBP K
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采用局部二元模式中的均匀模式并对直方图进行渐进分块加权进行特征提取-Adopt a uniform local binary pattern histogram mode and progressive weighting for feature extraction block
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为有效解决局部二元模式(LBP)在人脸识别特征提取时维数过高的问题，提出了一种结合LBP特征和主成分分析(PCA)的人脸识别方法．-To effectively solve the local binary pattern (LBP) feature extraction in face recognition problem of high dimensionality, we propose a combination of LBP features and principal compon
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首次提出将局部二进制模式(LBP) 用到掌纹识别中。借鉴分级检索的思想，先采用Gabor滤波器提取掌纹的全局能量特
征。后采用LBP算子提取局部特征实现两次分类。-First proposed the Local Binary Pattern (LBP) used palmprint recognition. Learn classification retrieval of thought, first use Gabor filter to extract palmprint globa
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