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Hog(1)_MatlabCode_20090408
- HoG matlab，内含HOG算法基本代码-HoG matlab code
Pedestrian-Detection
- 一个简单的基于HOG的行人检测程序，MATLAB编写，其中read me文档解释的较为详细。-A simple HOG based pedestrian detection program, MATLAB write, read me the document which explains in some detail.
CKPCA-HOG-SVM
- 为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
HOG
- HOG算法matlab实现，看HOG特征的论文的时候心血来潮写了这个, 就当练练英语, 理解理解HOG特征.
HOG
- 这是最简洁，注释得最好的HOG(Histogram Oriented Gradient)算法的matlab实现。可用于行人识别和物体跟踪。-This code is well commented, which enables the adjusting of the HOG parameters. This code was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable
HOG
- 图片分块，并计算任何一个区域的柱状分析 to obtain HOG features for a cell/block region of image pixels- to obtain HOG features for a cell/block region of image pixels
hog
- Hog try I try to implement hog descr iptor
HOG
- track by usinghistogram of gradients
hog
- HOG特征的实现.INRIA cvpr2005论文实现-HOG feature implementation. INRIA cvpr2005 paper to achieve
HOGCalculator
- HOG calculator, takes filename as input and calculates Histogram of oriented gradients from the input image.
hog
- histogram of orientation
HOG
- Image descr iptor based on Histogram of Orientated Gradients for gray-level images. This code was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable Classifier-Fusion Schemes: An Application To Pedestrian De
HOG
- Histogram of gradients, matlab code for grayscale images, with configurable parameters.
CODE
- 1.GeometricContext文件是完成图片中几何方向目标分类。 参考文献《Automatic Photo Pop-up》Hoiem 2005 2 GrabCut文件是完成图像中目标交互式分割 参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》 C. Rother 2004 3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码 4 虹膜识别程序
exercise5
- Matlab HOG exercise matlab svm learning
HOG-LBP detection
- 检测lbp+hog特征，MATLAB代码，用于特征识别和检测(Detect lbp+hog features)
ImgHOGFeature
- HOG特征计算，（1）将输入的彩图转换为灰度图； （2）采用Gamma校正法对输入图像进行颜色空间的标准化（归一化）；目的是调节图像的对比度，降低图像局部的阴影和光照变化所造成的影响，同时可以抑制噪音的干扰； （3）计算梯度；主要是为了捕获轮廓信息，同时进一步弱化光照的干扰。 （4）将梯度投影到单元的梯度方向；目的是为局部图像区域提供一个编码， （5）将所有单元格在块上进行归一化；归一化能够更进一步对光照、阴影和边缘进行压缩，通常，每个单元格由多个不同的块共享，但它的归一化是基于不同块的
HoG (2)
- code to extract hog features
HOG
- hog features extraction
HOG
- 掌纹识别的hog算法，在MATLAB中使用。(Palmprint recognition based on hog algorithm)