Description: Learning Multi-scale Block Local Binary Patterns for Face Recognition”-Learning Multi-scale Block Local Binary Patterns for Face Recognition Platform: |
Size: 4284416 |
Author:shj |
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Description: 人脸识别MATLAB工具箱
Faces detection toolbox v 0.1 -This toolbox provides some tools for faces detection using Local Binary Patterns and Haar features.
The task of detection is done by boosting approaches such Adaboosting, FastAdaboosting and Gentleboosting.
The main objective of this toolbox is to deliver simple but efficient tools mainly written in C codes with
a matlab interface and easy to modify. Platform: |
Size: 18769920 |
Author:he si |
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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: Gabor小波和局部二值模式结合的一种人脸识别算法 不错的算法-Gabor wavelet and local binary patterns with a good algorithm for face recognition algorithm Platform: |
Size: 278528 |
Author:桓董 |
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Description: 主要用于图像处理，局部二值模式，人脸识别方面-Mainly used for image processing, local binary patterns, face recognition area Platform: |
Size: 2048 |
Author:李杏杏 |
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Description: local binary patterns用来描述图像纹理的一个算子-local binary patterns used to describe the texture of an operator Platform: |
Size: 5321728 |
Author:王永涛 |
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Description: 几篇关于局部二值化模式（LBP）的文章，LBP是检测图像纹理的算法-Several articles on Local Binary Patterns (LBP) of the article, LBP texture detection algorithm is Platform: |
Size: 9559040 |
Author:kalman_zero |
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Description: Zhao G & Pietik?inen M (2007) Dynamic texture recognition using local binary patterns with an application to facial expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(6):915-928. 文中的代码-Spatio-temporal LBP: VLBP and LBP-TOP Platform: |
Size: 573440 |
Author:罗雪 |
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Description: Dynamic texture recognition using local binary patterns with an application to facial expressions-Dynamic texture recognition using local binary patterns with an application to facial expressions.pdf Platform: |
Size: 658432 |
Author:joe |
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Description: Local Binary Patterns， calculate histogram of LBP (local binary patterns) from an input image，VLBP (volume local binary patterns) -Introduction
============
This is a class to calculate histogram of LBP (local binary patterns) from an
input image, histograms of LBP-TOP (local binary patterns on three orthogonal planes)
from an image sequence, histogram of the rotation invariant VLBP (volume local
binary patterns) or uniform rotation invariant VLBP from an image sequence.
Reference
=========
1. Guoying Zhao, Matti Pietikä inen, "Dynamic Texture Recognition Using Local Binary Patterns
with an Application to Facial Expressions," IEEE Transactions on Pattern Analysis and Machine
Intelligence, vol. 29, no. 6, pp. 915-928, June 2007, doi:10.1109/TPAMI.2007.1110
2. Guoying Zhao, Matti Pietikainen, "Dynamic texture recognition using volume local binary
patterns," In: Dynamical Vision, WDW 2005/2006 Proceedings, Lecture Notes in Computer
Science 4358, 2006, 165-177.
Example
=======
Refer to `example directory for a simple demonstration.
Change
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* Some data structure are c Platform: |
Size: 1501184 |
Author:朱 |
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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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Description: 局部二进制模式，LBP，是已被用于纹理特征的一个
分类。在本文中，提出了一种基于使用这些功能的方法
检测缺陷图案的面料。在培训阶段，在第一个步骤LBP算子是
施加到无缺陷织物样品，逐个象素和参考的所有的行（列）
特征矢量的计算。那么这个图像被分为Windows和LBP算子是
应用这些窗口的每一行（列）。根据与参考比较
特征向量一个合适的阈值，无缺陷的窗户被发现。在检测阶段中，一个
测试图像被划分成的窗户，并使用阈值时，有缺陷的窗口可以
检测到。该方法简单，灰度不变。由于其简单性，
线上实现是可能的。-Local Binary Patterns, LBP, is one of the features which has been used for texture
classification. In this paper, a method based on using these features is proposed for
detecting defects in patterned fabrics. In the training stage, at first step LBP operator is
applied to all rows (columns) of a defect free fabric sample, pixel by pixel, and the reference
feature vector is computed. Then this image is divided into windows and LBP operator is
applied to each row (column) of these windows. Based on comparison with the reference
feature vector a suitable threshold for defect free windows is found. In the detection stage, a
test image is divided into windows and using the threshold, defective windows can be
detected. The proposed method is simple and gray scale invariant. Because of its simplicity,
online implementation is possible as well. Platform: |
Size: 333824 |
Author:李国华 |
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Search - Local Binary Patterns