Description: 输入为灰度图像，得到该幅图像的局部纹理图像(LOCAL BINARY PATTERN)。-Input gray-scale images, by the images of the local texture image (LOCAL BINARY PATTERN). Platform: |
Size: 3072 |
Author:张瑞娟 |
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Description: local binary pattern特征是一种光照鲁棒的纹理算子,这是计算该特征的VC程序
-local binary pattern feature is a light texture robust operator, which is to calculate the characteristics of the VC program Platform: |
Size: 449536 |
Author:bobo |
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Description: 实现纹理模式的LBP特征表示及分类。
实现一种基于局部二值模式LBP（Local Binary Pattern）的多分辨率灰度尺度及旋转不变性的纹理分类方法-LBP texture model to achieve that as well as the breakdown characteristics. The realization of a model based on local binary LBP (Local Binary Pattern) Multiresolution gray-scale and rotation invariant texture classification Platform: |
Size: 3072 |
Author:张阳军 |
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Description: Running this funciton each time to compute the LBP-TOP distribution of one video sequence.
Reference:
Guoying Zhao, Matti Pietikainen, "Dynamic texture recognition using local binary patterns
with an application to facial expressions," IEEE Transactions on Pattern Analysis and Machine
Intelligence, 2007, 29(6):915-928.-It is 3D LBP, which is publised in IEEE TPAMI, a top journal of computer vision and pattern recognition.
After unzipping the package, you can find a project coded in C++. After complied it, you can use it directly. Some tested images are also attached in the package. Platform: |
Size: 1819648 |
Author:zhang hong |
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Description: 论文提出一种全自动识别人脸七种基本表情(愤怒、厌恶、恐惧、高兴、无表情、悲伤和惊奇)的方法。该方法首先
采用几何模型匹配法自动定位出人眼，在此基础上进行人脸大小归一化，然后利用局域二值模式(Local Binary Pattern．
LBP)技术提取面部特征，最后采用由粗到细的方案进行表情分类。采用日本的JAFFE公用表情数据库来检测算法的性
能，实验结果验证了方法的有效性。-Paper proposes a fully automatic identification of seven basic facial expressions (anger, disgust, fear, happy, neutral, sadness, and surprise) method. In this method, the geometric model matching method with automatic positioning to human eyes, in this based on the human face of Size Normalization and then use local binary pattern (Local Binary Pattern. LBP) Jishu extract facial features, and finally using coarse-to- fine program expression classification. Public expression of Japan' s JAFFE database performance detection algorithm, experimental results verify the validity of the method. Platform: |
Size: 171008 |
Author:MJ |
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Description: 为了更有效地提取图像的局部特征，提出了一种基于2维偏最小二乘法(two—dimensional partial least
square，2DPLS)的图像局部特征提取方法，并将其应用于面部表情识别中。该方法首先利用局部二元模式(1ocal
binary pattern，LBP)算子提取一幅图像中所有子块的纹理特征，并将其组合成局部纹理特征矩阵。由于样本图像
被转化为局部纹理特征矩阵，因此可将传统PLS方法推广为2DPLS方法，用来提取其中的判别信息。2DPLS方法
通过对类成员关系矩阵的构造进行相应的修改，使其适应样本的矩阵形式，并能体现出人脸局部信息重要性的差
异。同时，对于类成员关系协方差矩阵的奇异性问题，也推导出了其广义逆的解析解。基于JAFFE人脸表情库的
实验结果表明，该方法不但可以有效地提取图像局部特征，并能取得良好的表情识别效果。-To better the image of the local feature extraction, a partial least squares method based on 2D (two-dimensional partial least
square, 2DPLS) image local feature extraction method, and applied to facial expression recognition. In this method, use of local binary pattern (1ocal
binary pattern, LBP) operator extracts an image texture features of all sub-blocks, and their combination into the local texture feature matrix. As the sample image
Be translated into the local texture feature matrix, so the traditional PLS method can be generalized to 2DPLS method used to extract the identification information. 2DPLS method
Through the class membership matrix in the corresponding modifications to adapt the sample matrix, and can reflect the importance of face poor local information
Different. Meanwhile, members of the class covariance matrix of the singular relations issues, also derived the generalized inverse of the analytical solution. Based on the JAFFE facial expression database
Platform: |
Size: 315392 |
Author:MJ |
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Description: Local binary pattern一个非常有用的代码，含一个自己写的例子。-Local binary pattern a very useful code, including a write your own example. Platform: |
Size: 4096 |
Author:cc |
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Description: 人脸图像特征提取：基于局域二值模式（LBP），对图像中的人脸纹理特征进行提取。-Face Image Feature Extraction: Based on the local binary pattern (LBP), the human face on the image to extract texture features. Platform: |
Size: 352256 |
Author:易鑫 |
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Description: LBP人脸识别：基于对小波分解和局部二进制模式(LBP)分析，提出了一种多级LBP直方图的序列特征(M—HSLBP)的提取方法。-LBP Face Recognition: Based on the wavelet decomposition and local binary pattern (LBP) analysis, a multi-stage sequence of LBP histogram features (M-HSLBP) extraction method. Platform: |
Size: 339968 |
Author:石业晨 |
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Description: The local binary pattern (LBP) is a simple yet very efficient operator which labels
the pixels of an image by thresholding the neighborhood of each pixel and considers
the result as a binary number. Perhaps the most important property of the LBP operator in real-world applications is its invariance against monotonic gray level changes caused, for example, by illumination variations. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. LBP is also very flexible: it can be easily adapted to different types of problems and used
together with other image descriptors Platform: |
Size: 7550976 |
Author:virtality |
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